{"@context":"https://schema.org","@type":"ItemList","name":"Senior Software Development Engineer Jobs - Find Senior Software Engineer Roles","description":"Explore the latest Senior Software Development Engineer jobs. Apply for Senior Software Engineer positions across various industries. Find rewarding career opportunities as a Senior Engineer.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Staff Software Engineer -Big Data -Generative AI","datePosted":"2025-09-19","description":"Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Staff Software Engineer (Big Data,GenAI): Experience: 8 to 13 YearsLocation: Bangalore,India Remote
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, driving innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
Job Responsibilities
·       Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability·       Own end-to-end delivery of key features and services across the full SDLC: design, implementation, testing, deployment, and operations·       Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems·       Build and optimize scalable, real-time analytic systems powering AI Agents·       Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices·       Collaborate across teams to ensure solutions are resilient, secure, and high-performing

Requirements
·       Degree in Computer Science, Mathematics, or a related field·       8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations)·       5+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming)·       Experience with sensitive or streaming data pipelines, including governance and compliance requirements·       Experience with Graph technologies (e.g., GNNs)·       Proven track record of delivering complex, high-impact software systems in production·       Experience deploying large-scale solutions on cloud platforms (AWS, Azure, GCP)·       Strong problem-solving skills and ability to excel in ambiguous environments
Preferred Qualifications·       MS in Computer Science, Machine Learning, or a related discipline·       Experience with Graph ML and Graph technologies (e.g., GNNs)·       Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.","hiringOrganization":{"@type":"Organization","name":"Extreme Networks","sameAs":"https://www.extremenetworks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Senior Software Engineer-Generative AI-Big Data","datePosted":"2025-09-19","description":"Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Senior Software Engineer (Gen AI, Big Data): Experience : 5 to 12 YearsLocation : Bangalore,IndiaRemote
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
Job Responsibilities
·       Be a thought leader and forward thinker, helping drive innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation·       Lead the full software development lifecycle including design, testing, deployment, and operations, guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation·       Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks·       Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale
Requirements
·       Degree in Computer Science, Mathematics, or a related field·       5+ years of full SDLC experience including design, coding, reviews, testing, deployment, and operations·       5+ years of experience building and deploying end-to-end ML solutions in production·       Hands-on experience developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production·       Experience with large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP·       Strong ability to solve complex and ambiguous problems
Preferred Qualifications·       MS or PhD in Computer Science, Machine Learning, or a related discipline·       Experience with Graph ML and Graph technologies such as GNNs or Graph RAG·       Experience with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.","hiringOrganization":{"@type":"Organization","name":"Extreme Networks","sameAs":"https://www.extremenetworks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Senior Software Engineer-Generative AI-Big Data","datePosted":"2025-09-19","description":"Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Senior Software Engineer (Gen AI, Big Data): Experience : 5 to 12 YearsLocation : Bangalore,IndiaRemote
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
Job Responsibilities
·       Be a thought leader and forward thinker, helping drive innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation·       Lead the full software development lifecycle including design, testing, deployment, and operations, guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation·       Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks·       Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale
Requirements
·       Degree in Computer Science, Mathematics, or a related field·       5+ years of full SDLC experience including design, coding, reviews, testing, deployment, and operations·       5+ years of experience building and deploying end-to-end ML solutions in production·       Hands-on experience developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production·       Experience with large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP·       Strong ability to solve complex and ambiguous problems
Preferred Qualifications·       MS or PhD in Computer Science, Machine Learning, or a related discipline·       Experience with Graph ML and Graph technologies such as GNNs or Graph RAG·       Experience with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.","hiringOrganization":{"@type":"Organization","name":"Extreme Networks","sameAs":"https://www.extremenetworks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Senior Software Engineer -Big Data- Generative AI","datePosted":"2025-09-19","description":"Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Senior Software Engineer – (Big Data, GenAI): Experience: 5 to 12 YearsLocation: Bangalore, India Remote
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.

Job Responsibilities
·       Design, implement, and maintain scalable distributed systems, data pipelines, and ML services·       Contribute to system architecture discussions and help shape design decisions for production systems·       Build and optimize microservices and real-time inferencing solutions powering AI Agents·       Collaborate with cross-functional teams to integrate Big Data and Generative AI solutions into products and platforms such as Lakehouse, Streaming Services, and ETL Pipelines·       Write high-quality, production-ready code and participate in design reviews, code reviews, and testing·       Mentor junior engineers and contribute to engineering best practices
Requirements
·       Degree in Computer Science, Mathematics, or a related field·       5+ years of experience across the full software development lifecycle including design, coding, testing, deployment, and operations·       3+ years of experience with distributed Big Data systems such as PySpark, Kafka, Lakehouse, Debezium, Druid, or Glue·       Hands-on experience delivering ML or Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production·       Experience deploying large-scale systems on cloud platforms such as AWS, Azure, or GCP·       Strong problem-solving skills with the ability to deliver in fast-paced, collaborative environments
Preferred Qualifications·       MS in Computer Science, Machine Learning, or a related field·       Experience with Graph ML such as GNNs or Graph RAG·       Experience in Generative AI such as RAG, Knowledge Bases, or AI Agents Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.","hiringOrganization":{"@type":"Organization","name":"Extreme Networks","sameAs":"https://www.extremenetworks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Senior Software Engineer-Big Data, Generative AI","datePosted":"2025-09-19","description":"Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Senior Software Engineer – (Big Data, GenAI): Experience: 5 to 12 YearsLocation: Bangalore,India Remote Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.

Job Responsibilities
·       Design, implement, and maintain scalable distributed systems, data pipelines, and ML services·       Contribute to system architecture discussions and help shape design decisions for production systems·       Build and optimize microservices and real-time inferencing solutions powering AI Agents·       Collaborate with cross-functional teams to integrate Big Data and Generative AI solutions into products and platforms such as Lakehouse, Streaming Services, and ETL Pipelines·       Write high-quality, production-ready code and participate in design reviews, code reviews, and testing·       Mentor junior engineers and contribute to engineering best practices
Requirements
·       Degree in Computer Science, Mathematics, or a related field·       5+ years of experience across the full software development lifecycle including design, coding, testing, deployment, and operations·       3+ years of experience with distributed Big Data systems such as PySpark, Kafka, Lakehouse, Debezium, Druid, or Glue·       Hands-on experience delivering ML or Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production·       Experience deploying large-scale systems on cloud platforms such as AWS, Azure, or GCP·       Strong problem-solving skills with the ability to deliver in fast-paced, collaborative environments
Preferred Qualifications
·       MS in Computer Science, Machine Learning, or a related field·       Experience with Graph ML such as GNNs or Graph RAG·       Experience in Generative AI such as RAG, Knowledge Bases, or AI Agents Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.","hiringOrganization":{"@type":"Organization","name":"Extreme Networks","sameAs":"https://www.extremenetworks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior Engineering Manager -Big Data, Generative AI","datePosted":"2025-09-19","description":"Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Senior Engineering Manager (Big Data, Gen AI):

Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.

This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
Job Responsibilities
·       Provide technical leadership and vision, driving innovation in distributed systems, large-scale data pipelines, and ML solutions·       Lead the full software development lifecycle, including design, architecture, testing, deployment, and operations·       Architect and deliver high-performance, scalable microservices and real-time inferencing systems using modern ML infrastructure·       Mentor and grow engineering talent, establish technical direction, and foster a culture of excellence and collaboration·       Champion engineering rigor, operational excellence, and process improvements to deliver resilient, scalable systemsBasic Qualifications·       Degree in Computer Science, Mathematics, or a related discipline·       8+ years of experience across the full SDLC including design, coding, reviews, testing, deployment, and operations·       4+ years of experience managing engineering teams with a proven track record of delivery·       4+ years of experience building distributed Big Data solutions such as Spark, Kafka, Debezium, Hudi, Flink, or Glue·       4+ years of experience designing and architecting large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP
·       Proven ability to optimize Big Data workflows and improve system performance at scale·       Proficiency with Docker, Kubernetes, and modern CI/CD practices·       Experience serving as a mentor, tech lead, or people manager in engineering organizations

Preferred Qualifications
·       MS or PhD in Computer Science or a related field·       Experience with Graph ML and Graph technologies such as GNNs·       Experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuningExtreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.","hiringOrganization":{"@type":"Organization","name":"Extreme Networks","sameAs":"https://www.extremenetworks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Software Development Engineer in Test (Javascript)","datePosted":"2025-09-19","description":"

Company Description

At KMS Technology Mexico, we are passionate about building innovative software solutions that drive impact. As part of an international tech company, we offer a collaborative and inclusive environment where your ideas matter and your growth is our priority.

Job Description

We are looking for a highly skilled Senior Software Development Engineer in Test (SDET) with strong expertise in JavaScript to join our Quality Engineering team. In this role, you will design and implement automated test frameworks, ensure code quality through robust test coverage, and collaborate with cross-functional teams to deliver high-performing, reliable software.

As a senior member of the team, you will drive test automation strategies, mentor junior engineers, and work closely with developers and product managers to embed testing best practices throughout the software development lifecycle. This role requires both strong coding ability and a passion for quality.

Key Responsibilities:

Advocate for testability, performance, and scalability improvements in product design.
Collaborate with Product and Engineering teams in an Agile environment, actively participating in sprint planning, reviews, and retrospectives.
Design, develop, and maintain automated test frameworks and suites using JavaScript.
Create, execute, and optimize end-to-end, integration, API, and UI tests.
Collaborate with developers to ensure code is testable and covered by automated tests.
Identify, isolate, and report defects, ensuring issues are tracked through resolution.
Integrate automated tests into CI/CD pipelines to enable continuous testing.
Monitor and analyze test execution results, providing actionable feedback to engineering teams.
Contribute to overall quality strategy, ensuring consistent standards across projects.
Mentor junior QA/SDET engineers on automation practices, code reviews, and test design.

Qualifications

Excellent communication and collaboration skills, with experience partnering with developers and product managers.
Strong problem-solving mindset, with the ability to balance speed, quality, and technical excellence.
5+ years of professional experience in software testing or software engineering roles.
Strong coding proficiency in JavaScript, with experience building and maintaining automated test frameworks.
Hands-on experience with test automation tools (e.g., WebdriverIO, Jest, Mocha, Jasmine, or similar).
Solid understanding of CI/CD pipelines and integration of automated tests into build processes.
Experience testing APIs (REST/GraphQL) and web applications at scale.
Strong debugging and troubleshooting skills across frontend, backend, and integration layers.
Familiarity with performance and accessibility testing tools is a plus.
Proven ability to work in Agile/Scrum environments.

Additional Information

Location: Guadalajara, Jalisco, Mexico (working from home - office won't be mandatory all the time, rather it will required from time to time).

","hiringOrganization":{"@type":"Organization","name":"KMS Technology","sameAs":"https://careers.kms-technology.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Guadalajara, Jal., Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Software Development Engineer","datePosted":"2025-09-19","description":"

As CVS Health continues to grow across our business entities in Ireland, we now have exciting opportunities with our Oak Street Health entity. Oak Street Health is increasing investments in digital, data, analytics and technology and experiential innovations to drive business agility and growth. Oak Street Health is excited to be involved! ‘Digital First, Technology Forward and Data Driven’ is not simply an aspirational goal for the company, but a prerequisite to accelerated growth.

We are hiring for a Senior Software Engineer within our dynamic, new, growth-focused Healthcare Delivery business to drive technology thought leadership across our portfolio of products and capabilities. This is your opportunity to be involved with a pioneering business that is transforming health care in the United States by making customer experiences more seamless, convenient and personalized.

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make healthcare more personal, convenient and affordable.

The Team:

Do you want to work in a team where your ideas are considered? Where you are working with other engineers you can learn from, highly motivated by the difference their work is making to people’s lives? We are looking for Tech Savvy individuals interested in delivering Java/Kotlin Microservices based solutions on AKS/GCP leveraging techniques such as Domain Driven Design.

As a Senior Software Engineer within CVS Health's Oak Street business, you will be part of an agile development team, building and working on enterprise grade software systems leveraging cloud technology to build world-class Microservices for our next generation products.

This role reports directly to the Engineering Manager of the team & is open to hybrid candidates who can be in the office in Galway two days a week.

Responsibilities:

Maintain high standards of software quality by writing high-quality code and following established standards and best practices
Collaborate with other Software Engineers, Business Analysts and Architects in the planning, design, development, testing, and maintenance of backend services and API supporting business applications
Work with the Product Team in the refinement of user stories that are developer-ready, easy to understand, and testable
Participate in peer-reviews of solution designs and related code
End-to-end application delivery including coordination with required teams for production deployment.
Analyze and resolve technical and application problems
Assess opportunities for application and process improvement and prepare documentation of rationale to share with team members and other affected parties
Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, and message processing
Continuous monitoring of application health/metrics and KPIs (Key Performance Indicators), support triage of any production issues as and when needed
Responsible for the security and privacy of all protected health information that may be accessed during normal work activities
Mentoring of junior engineers

We’re ideally looking for an engineer with:

Bachelor degree in Computer Science or relevant degree / work experience
5+ years of experience building large consumer-facing products using Java, Spring Boot, Kotlin
Experience of REST API design best practices
Experience with application containerization and container management
Experience with messaging technologies like Kafka or RabbitMQ
Experience with relational and document databases (Postgres, MongoDB)
Prior work with cloud-based systems, Azure or GCP experience preferred
Exposure to caching patterns and technologies (Redis, Couchbase, etc.)
Experience with TDD and BDD/Unit testing frameworks
Experience with GenAI tools (Cursor, CoPilot)
Strong understanding of microservice architecture principles and techniques, domain driven design, object-oriented design principles, and database design and implementation

\n","hiringOrganization":{"@type":"Organization","name":"Signify Health","sameAs":"https://www.signifyhealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Galway, Ireland","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Software Development Engineer","datePosted":"2025-09-19","description":"

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India.

\nWe are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital).

A Senior Software Development Engineer at Razorpay is well-grounded - smart, quality focussed, product thinker, business conscious - not mere coders, of course, with very good technical context and experience to write and build quality software. Engineering creates a significant impact across different areas, considering the scale of our software product outreach. You’re also expected to influence the culture of the company and help shape it in the right way.

Roles And Responsibilities:

Be involved and drive product & design discussions.
Help us scale our payment infrastructure to get every Indian to pay online.
Help us make decisions to shape our REST APIs for developers worldwide.
Contribute to open source as we set the standards for mobile payments.
Be involved and drive product & design discussions.
And, most importantly, brainstorm and create new directions that Razorpay can take in our quest to make online payments easy and accessible to all.

Mandatory Qualifications:

3+ years of experience in Technology.
A strong product design sense.
Good experience in working with C++ (Mandatory)
Understand end-user requirements, formulate use cases and come up with effective solutions.
Good understanding of REST APIs and the web in general.
Ability to build a feature from scratch & drive it to completion.
A willingness to learn new technology, whatever lets you deliver the best product.
Have a few weekend side projects up on GitHub
Have contributed to an open-source project
Have worked at a product company
Have a working knowledge of a backend programming language

Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.
\n \nFollow us on LinkedIn & Twitter","hiringOrganization":{"@type":"Organization","name":"Razorpay","sameAs":"https://razorpay.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Big data Engineer (Airflow/Snowflake)","datePosted":"2025-09-19","description":"

Description

Our client is a rapidly growing, automation-led service provider specializing in IT, business process outsourcing (BPO), and consulting services. With a strong focus on digital transformation, cloud solutions, and AI-driven automation, they help businesses optimize operations and enhance customer experiences. Backed by a global workforce of over 32,000 employees, our client fosters a culture of innovation, collaboration, and continuous learning, making it an exciting environment for professionals looking to advance their careers.

Committed to excellence, our client serves 31 Fortune 500 companies across industries such as financial services, healthcare, and manufacturing. Their approach is driven by the Automate Everything, Cloudify Everything, and Transform Customer Experiences strategy, ensuring they stay ahead in an evolving digital landscape.

As a company that values growth and professional development, our client offers global career opportunities, a dynamic work environment, and exposure to high-impact projects. With 54 offices worldwide and a presence in 39 delivery centers across 28 countries, employees benefit from an international network of expertise and innovation. Their commitment to a 'customer success, first and always' philosophy ensures a rewarding and forward-thinking workplace for driven professionals.

We are currently searching for a Big data Engineer (Airflow/Snowflake):

Responsibilities:

Design, build, and maintain ELT pipelines, orchestration, and integrations using S3, Apache Airflow, DBT Cloud, and Snowflake within an AWS cloud environment.
Develop modular Python code for reusable packages, scripting, and automation.
Implement and optimize SQL queries and Snowflake data models for performance and scalability.
Deploy container-based services in AWS with proper monitoring setup.
Integrate and process data from REST APIs to support analytical and operational needs.
Ensure data quality, governance, and implement cloud-native troubleshooting practices.
Collaborate with cross-functional teams to define and execute data engineering best practices.

Requirements:

5+ years of experience in data engineering roles.
Proficient in Python for scripting, automation, and API interactions.
Strong SQL skills and Snowflake expertise, including performance tuning and data modeling.
Hands-on experience with Apache Airflow for workflow orchestration and monitoring.
Experience with dbt for modular, version-controlled data transformations.
Solid background with AWS services such as S3, Lambda, IAM, and CloudWatch.
Strong understanding of data quality, governance, and troubleshooting in cloud environments.

Languages

Advanced Oral English.
Native Spanish.

Note:

Fully remote.

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/

Requirements

Requirements:

5+ years of experience in data engineering roles.
Proficient in Python for scripting, automation, and API interactions.
Strong SQL skills and Snowflake expertise, including performance tuning and data modeling.
Hands-on experience with Apache Airflow for workflow orchestration and monitoring.
Experience with dbt for modular, version-controlled data transformations.
Solid background with AWS services such as S3, Lambda, IAM, and CloudWatch.
Strong understanding of data quality, governance, and troubleshooting in cloud environments.

","hiringOrganization":{"@type":"Organization","name":"Sequoia Connect","sameAs":"https://www.sequoia-connect.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ciudad de México, CDMX, MX","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior QA Engineer - Big Data (Auto & BE Testing)","datePosted":"2025-09-19","description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.\n

Responsibilities

Participate in the entire software development lifecycle (including Backend Testing), encompassing all stages from requirements analysis to test planning, execution, defect tracking, through to product release and maintenance.
Work closely with team members (Developers, Product Manager and all other partners) to design, develop, test and deliver high quality products.
Create detailed, comprehensive, well-structured and effective test plans and test cases for applications, including Data applications, Data platform and pipelines.
Prevent, report, analyse and track issues in an effective and efficient mannerImprove test strategy to reduce manual test efforts - Design, develop and execute Automation scripts.

Requirements

At least 6+ years of QA engineering experience in Automation and familiar with Backend Testing + Coding (Intermediate coding ability in Python or Java ).
Experience in writing clear and comprehensive test plans and test cases.
Experience in testing Backend services such as APIs, Databases, distributed servicesStrong SQL testing, understanding different SQL statements.
Experience working in an Agile/Scrum development process.
Bonus: Knowledge in the Blockchain or Web3 domain.
Bonus: Big Data middle-wares testing (Hadoop, Hive, Spark, Kafka, Flink)

Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique, fast-paced projects with autonomy in an innovative environment• Thrive in a results-driven workplace with opportunities for career growth and continuous learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.","hiringOrganization":{"@type":"Organization","name":"Binance","sameAs":"https://www.binance.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Asia","addressCountry":"Philippines","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Staff Engineer - Hadoop-Big Data & Tableau Admin - Federal","datePosted":"2025-09-19","description":"

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

Please Note: This position will include supporting our US Federal Government Cloud Infrastructure.

This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.
\n
\nAs a Staff DevOps Engineer on our Big Data Federal Team, you will help deliver 24x7 support for our Cloud infrastructure.

The Big Data team plays a critical and strategic role in ensuring that ServiceNow can exceed the availability and performance SLAs of the ServiceNow Platform-powered Customer instances - deployed across the ServiceNow cloud and Azure cloud. Our mission is to:

Deliver state-of-the-art Monitoring, Analytics and Actionable Business Insights by employing new tools, Big Data systems, Enterprise Data Lake, AI, and Machine Learning methodologies that improve efficiencies across a variety of functions in the company: Cloud Operations, Customer Support, Product Usage Analytics, Product Upsell Opportunities, enabling a significant impact on both the top-line and bottom-line growth.

The Big Data team is responsible for:

Collecting, storing, and providing real-time access to a large amount of data
Provide real-time analytic tools and reporting capabilities for various functions, including:
Monitoring, alerting, and troubleshooting
Machine Learning, Anomaly Detection, and Prediction of P1s
Capacity planning
Data analytics and deriving Actionable Business Insights

What you get to do in this role:

Responsible for deploying, monitoring, maintaining and supporting Big Data infrastructure and applications on ServiceNow Cloud and Azure environments.
Deploy, scale, and manage containerized Big Data applications using Kubernetes, docker, and other related tools.
Proactively identify and resolve issues within Kubernetes clusters, containerized applications, and data pipelines. Provide expert-level support for incidents and perform root cause analysis.
Triage network-related issues in a containerized environment.
Provide production support to resolve critical Big Data pipelines, application issues, and mitigating or minimizing any impact on Big Data applications. Collaborate closely with Site Reliability Engineers (SRE), Customer Support (CS), Developers, QA and System engineering teams in replicating complex issues leveraging broad experience with UI, SQL, Full-stack and Big Data technologies.
Responsible for enforcing data governance policies and the Definition of Done (DoD) in all Big Data environments.
Install, configure, and upgrade Tableau Server in a clustered environment. Manage user licensing, site administration, and content permissions.
Monitor Tableau Server performance, health, and usage; perform tuning to ensure optimal performance. Automate server monitoring and maintenance tasks using scripting (e.g., PowerShell, Python) and the Tableau Services Manager (TSM) CLI.
Manage Tableau data source connections, extracts, and refresh schedules.
Implement and manage security best practices for the Tableau environment, including user authentication (SAML, Active Directory) and content-level security.

Qualifications

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools like Copilot, Windsurf or similar to automate workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
6+ years of experience working with systems such as HDFS, Yarn, Hive, HBase, Kafka, RabbitMQ, Impala, Kudu, Redis, MariaDB, and PostgreSQL
Deep understanding of Hadoop / Big Data Ecosystem.
Hands-on experience with Kubernetes in a production environment
Deep understanding of Kubernetes architecture, concepts, and operations
Strong knowledge in querying and analyzing large-scale data using VictoriaMetrics, Prometheus, Spark, Flink, and Grafana
Experience supporting CI/CD pipelines for automated applications deployment to Kubernetes
Strong Linux Systems Administration skills
Strong scripting skills in Bash, Python for automation routine tasks.
Proficient with Git and version control systems
Familiarity with Cloudera Data Platform (CDP) and its ecosystem
Experience as a Tableau administrator, configuring and administering Tableau Server with knowledge of Tableau Server best practices for scalability, performance, content management and governance.
Familiarity with Tableau Services Manager (TSM).
Ability to learn quickly in a fast-paced, dynamic team environment and have a mindset to adapt to technology changes.

GCS-23
\n
\nFor positions in the Bay Area, we offer a base pay of $163,600 - $286,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact talent.acquisition@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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Job Description:

DB Global Technology is Deutsche Bank’s technology centre in Central and Eastern Europe. Since its set-up in 2013, Bucharest Technology Centre (BEX) has constantly proven its capacity to deliver global technology products and services, playing a dynamic role in the Bank’s technology transformation.

We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas.

If you want to apply and enhance your expertise in Big Data, develop Scala Pipelines, offer Spark performance solutions interact with Elastic Search, Flume, Kibana, in an environment as vast as Deutsche Bank, this is the right time and job for you.

We use of the latest architectures and technologies in Big Data and Business Intelligence in order to offer relevant data analysis to financial departments and ensure regulatory commitments.

According to Deutsche Bank’s strategic approach – to work with latest innovative solutions, the initial prototypes started to become the norm for many projects.

Responsibilities:

Lead a team of 10 developers and perform all people manager activities.
Build distributed, reliable and scalable data pipelines to ingest and process data in real-time. Hadoop developer deals with fetching streams, transaction behaviors, clickstream data and other unstructured data.
Load data from different datasets and deciding on which file format is efficient for a task. Hadoop developers source large volumes of data from diverse data platforms into Hadoop platform.
Fine tune Hadoop applications for high performance and throughput.
Configure and maintain enterprise Hadoop environment.
Understand the requirements of input to output transformations.
Defining Hadoop Job Flows/ Implement data workflows using Hadoop ecosystem.
Design and implement column family schemas of Hive/Impala within HDFS.
Assign schemas and create Hive/Impala tables.
Develop efficient Hive/Impala scripts with joins on datasets using various techniques.
Assess the quality of datasets for a Hadoop data lake.
Troubleshoot and debug any Hadoop ecosystem run time issue.

Skills:

At least 5 years of experience working with Hadoop and Scala.
Good knowledge of concurrency and multi-threading concepts.
Good knowledge of SQL, database structures, principles, and theories.
Experience in working with complex data structures.
People management skills
Capable to meet deadlines and work within virtual teams in matrix organizations.

Well-Being & Benefits

Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health

Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness.
A professional, passionate, and fun workplace with flexible Work from Home options.
A modern office with fun and relaxing areas to boost creativity.
Continuous learning culture with coaching and support from team experts.

Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive

Private healthcare and life insurance with premium benefits for you and discounts for your loved ones.

Socially connected: we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing.

Kids@TheOffice - support for unexpected events requiring you to care for your kids during work hours.
Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more.

Financially secure: : we support you to meet personal financial goals during your active career and for the future

Competitive income, performance-based promotions, and a sense of purpose.
24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

","hiringOrganization":{"@type":"Organization","name":"Deutsche Bank","sameAs":"https://www.db.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bucharest, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Big Data Engineer","datePosted":"2025-09-19","description":"

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

This role is responsible for the delivery of Big Data solutions to make decisions. This includes the development of new systems for analyzing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; integrating new tools to improve descriptive, predictive, and prescriptive analytics; and discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions. This role will also begin project management of moderately complex projects. This role contributes to the structured and unstructured Big Data / Data Science tools of Allstate from traditional to emerging analytics technologies and methods. The role is responsible for assisting in the selection and development of other team members.

Key Responsibilities

Develops technical solutions using Big Data techniques in data & analytics processes
Is recognized as an expert in Big Data and is influential within the department
Influences within the department on the effectiveness of Big Data systems to solve their business problems
Leverages and uses Big Data best practices / lessons learned to develop technical solutions used for descriptive analytics, ETL, predictive modeling, and prescriptive “real time decisions” analytics
With coaching, can identify new areas of data, research and big data technology that can solve business problems
Partners closely with peers in the department to ensure holistic Big Data solutions for our data science community and analytic users
Partners with Allstate Technology teams on Big Data efforts
Executes complex and occasionally highly complex functional work tracks for the team. Drives the execution of operational/technical objectives for data analytic outputs and business solutions

Education

• Masters Degree (Preferred)

Experience

• 3 or more years of experience (Preferred)

Supervisory Responsibilities

• This job does not have supervisory duties.

Education & Experience (In Lieu)

• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

Primary Skills

AWS Big Data, Big Data, Big Data Engineering, Big Data Systems, Big Data Technologies, Data Query, Data Science, Influencing Others

Shift Time

Recruiter Info

Yateeshybgaa@allstate.com

About Allstate

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition.

Learn more about Allstate India here.

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Job Description:
The Applications Development Senior big Data Engineer is responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis, development and maintenance activities. This role requires hands-on development and participation in entire software/application development lifecycle.

Responsibilities:

Manage one or more Applications Development teams in an effort to accomplish established goals
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
Review/analyze/develop proposed technical solutions for projects
Contribute to formulation of strategies for applications development and other functional areas
Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
Provide evaluative judgment based on analysis of factual data in complicated and unique situations
Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project
Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Core Skills:

The Senior Data Engineer will be working very closely with a team of data engineers working on our Big Data Platform. They will need the below core skills –
Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
Hands-on experience working with Hive, Impala, Kafka, HBase, Spark for data curation/conformance related work.
Strong proficiency in Spark for development work related to curation/conformance. Strong Scala development (with previous Java background) preferred.
Experience with Spark/Kafka or equivalent streaming/batch processing and event-based messaging.
Strong data analysis skills and the ability to slice and dice the data as needed for business reporting, SQL Server), NoSQL (MongoDB) database integration and data distribution principles experienceRelational SQL (Oracle

Leadership & Mentorship: Ability to guide and mentor junior developers, fostering a collaborative team environment and promoting professional growth.

Communication Skills: Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences.

DevOps Practices: Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes.

Software Engineering Principles: Proficient in industry-standard best practices such as Design Patterns, Coding Standards, Coding modularity, and Prototyping.

Data Visualization: Experience with data visualization tools and techniques for presenting data insights effectively.

Agile Methodologies: Familiarity with agile development methodologies and experience working in agile and scaled agile teams.

Additional Requirements (Nice to have):
• Experience with Graph Databases like Neo4j
• Experience with API development and use of JSON/XML data formats.

Qualifications:
• 6-10 years of relevant experience in the Big Data Application Development
• Experience as Applications Development Lead
• Experience as senior level in an Applications Development role
• Stakeholder and people management experience is good to have
• Basic knowledge of industry practices and standards

Education:
• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

Other Relevant Skills

Apache Hadoop, Apache Hive, Apache Impala, Apache Kafka, Apache Spark, Big Data, Java, MongoDB, NoSQL, Oracle Database, Python (Programming Language), Relational Database Management System (RDBMS).

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

Big Data, PySpark, Python (Programming Language), Scala (Programming Language).

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

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# Quem Somos

A F1RST é o futuro e sua carreira está aqui! Nossa cultura é baseada em “Pessoas, Inovação e Resultados”. ☝️

Fazemos parte do maior banco Internacional do Brasil, um dos maiores bancos do mundo. Promovendo serviços e experiências para os mais de 60 milhões de clientes de todo o ecossistema Santander.

Venha fazer parte do time que tem como propósito apoiar as pessoas e fazer os negócios prosperarem. 🚀

Somos apaixonados por tecnologia. Somos F1RST Digital Services.

Siga o nosso LinkedIn e fique por dentro de todas as novidades: https://www.linkedin.com/company/f1rstdigitalservices

Temos uma vaga para você se tornar Data Engineer Spec II.

Aqui, seu papel será:
• Projetar, construir e manter pipelines de dados escaláveis, resilientes e eficientes;
• Trabalhar com arquiteturas modernas de dados (streaming, data lakes, cloud);
• Colaborar com times de engenharia, produtos de Finanças para transformar dados em decisões estratégicas;
• Atuar na melhoria contínua de performance, qualidade e governança dos dados;
• Avaliar e implementar novas ferramentas e tecnologias do ecossistema de dados.

Requisitos Imprescindíveis:
• Sólida experiência com Python, SQL e ferramentas de ETL;
• Conhecimento em arquitetura de dados e bancos relacionais/não relacionais;
• Experiência com cloud (Azure) e Databricks;
• Conhecimento em ferramentas como Apache Spark, Kafka, Event hub e Shell Script.
• Mentalidade orientada a produto, com foco em entrega e qualidade.

Requisitos DesejáVeis:

• Certificações Azure e Databricks de nível médio ou avançado
• Conhecimento em Control-M

🧠 O que valorizamos
• Curiosidade técnica e vontade constante de aprender;
• Proatividade, autonomia e espírito de dono;
• Capacidade de trabalhar em equipe e comunicar ideias de forma clara.

Local de trabalho:
(Nome do prédio e bairro localizado ou região)

# BenefÍCios:

➡️ AuxíLio RefeiçãO;

➡️ ConvêNio MéDico;

➡️ Convênio Odontológico: Plano básico e intermediário;

➡️ Vale Transporte;

➡️ Flex Férias: 24 dias úteis de férias podendo ser divididos em até 6 vezes, e a cada 2 meses trabalhados você já pode aproveitar 4 dias úteis;

➡️ Dayoff AniversáRio;

➡️ Parceiros de academia: Totalpass, Wellhub;
➡️ Flex Working: Modelo de trabalho híbrido: 2 dias Home Office e 3 dias presenciais;
➡️ Plataformas de treinamento com mais de 100 mil cursos;
➡️ Linhas de carreira para o seu desenvolvimento profissional;
➡️ Flex Learning: Incentivo para estudos exclusivo a funcionários com Alta Performance;

➡️ AuxíLio Creche;

➡️ Programa Nascer e Licença Paternidade estendida.

#Li-Hybrid

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Hive is a fast-growing SaaS company offering marketing solutions to live event promoters across North America. Our engineering team builds and maintains the systems that empower our customers to do powerful things simply and intuitively. We operate with agility—shipping minimum viable products, deploying multiple times daily, and rapidly iterating based on customer feedback.

At Hive, we handle impressive technical scale: ingesting high-volume data in real-time from 20+ integrations (including Ticketmaster and Eventbrite), storing and querying billions of customer data points, and delivering over 200 million emails and SMS messages monthly to our clients' customers. Our platform runs entirely on AWS, with a backend technology stack that includes Python, Redis, MongoDB, MySQL, Elasticsearch, Clickhouse, and a comprehensive suite of AWS services.

As we continue to scale, we're seeking a Senior Software Development Engineer to join our Platform and Services team—the foundation that enables our product and engineering teams to build, deploy, and operate exceptional experiences at scale.

The Role

As a Senior Software Development Engineer on our Platform & Services team at Hive, you'll design, build, and maintain the core platform services and infrastructure that power our product ecosystem. This role focuses on developing scalable foundational services that enable our engineering teams to deliver value efficiently and predictably.

Tech Stack

AWS, Docker, Python, Django, Redis, MySQL, Clickhouse, MongoDB, Elasticsearch, DataDog, Sentry.

What You'Ll Do

Enhance application performance at every level, from infrastructure foundations to runtime environments
Tackle and resolve complex technical challenges across the entire stack
Partner with development teams to design and implement scalable, reliable solutions
Champion system observability improvements through implementation, maintenance, process refinement, and automation, enabling faster incident response and resolution
Drive SLO adoption and improvement to ensure excellent customer satisfaction across key value streams as we scale another order of magnitude
Develop and implement strategies to optimize cloud infrastructure costs

What We'Re Looking For

7+ years of software engineering experience, with at least 5 years focused on core backend services or platform engineering
3+ years experience with AWS and proven ability to build effective monitoring, alerting, and observability solutions
Track record of implementing, maintaining, and improving SLOs for backend services
Solid knowledge of distributed systems principles with their real-world applications
Excellent programming skill and a track record of measured improvements to production systems at scale
A data-driven approach to enhancing stability and availability
Excellent communication skills with the ability to collaborate effectively across teams and explain complex technical concepts clearly

Bonus points if you have...

Proven experience scaling complex AWS environments and optimizing performance across the full technology stack during periods of significant growth
Skillful approach to cloud cost optimization and resource management
Leadership experience in establishing and improving incident management processes
Meaningful salary and equity: you're rewarded based on impact

What We Offer

Work fully remote from the comfort of your home in Canada
The compensation range for this role is $123,600 to $155,00 CAD per year, depending on qualifications and experience. This compensation range takes into account a wide range of factors that are considered in making compensation decisions including but not limited to job-related skills, experience and relevant training, and business and organizational needs.
You must be based in Canada and have legal Canadian work authorization for this role.
Opportunity to shape reliability practices at a rapidly scaling company
Collaborative team of experienced engineers passionate about building reliable systems
Flexible work hours: minimal meetings and no 9-5
Health & Dental coverage
Open vacation/PTO policy so you can be happy and healthy!
Generous parental leave top-up with a flexible return-to-work plan

About Hive

Hive.co is a marketing platform for event marketers. We help brands personalize and automate their campaigns, using email and SMS, to empower them to sell out so they can focus on making their events unforgettable.

By integrating with ticketing partners like Ticketmaster and e-commerce partners like Shopify, we enable brands to access and act on all their customer data, so they can easily segment their list in thousands of ways, and send more customized, timely email campaigns that land in inboxes.

We started our company inside a University of Waterloo computer lab in early 2014, graduated from Y Combinator that summer (S14 batch) and have been growing ever since. Originally based in Kitchener, our team is now 100% remote and located all across Canada! We strive to provide an online work environment that allows team members to have a strong work life balance while still feeling connected to their team and Hive’s mission.

To learn more about our team check out our About Us page on our website:https://www.hive.co/company

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About Zscaler

Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.

Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

We're looking for an experienced Senior Software Engineer to join our Engineering team to contribute as development engineer. Reporting to the Sr. Director, Software Engineering. You'll be responsible for:

Developing and maintaining software components using C programming language
Implementing and optimising data structures for efficient problem-solving
Working on Linux/FreeBSD-based systems, including basic configuration and scripting
Collaborating with senior engineers to understand, debug, and resolve system and application-level issues
Debugging code using tools like GDB to identify and resolve issues in a timely manner

What We're Looking for (Minimum Qualifications)

3+ years experience in C programming and strong understanding of core principles
Hands on experience in data structures (arrays, linked lists, stacks, and trees) and their applications
Familiarity with operating system concepts such as process management, threading, and memory management
Experience with GDB or other debugging tools for troubleshooting software errors
Strong problem-solving skills with a keen attention to detail

What Will Make You Stand Out (Preferred Qualifications)

Knowledge of version control tools (Git)
Familiarity with networking concepts and protocols
BS/MS degree in computer science or related field

#Li-Hybrid

#Li-Pm5

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

\n\n

Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!

Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.

\n\n

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Company Overview (Who are we? Why should you join us?)

At ecoATM the proof of our success is in our staggering growth, extraordinary impact on protecting the planet, and providing a work culture unlike any other. We are a technology company and a pioneer of device re-commerce. Through our 6500+ automated kiosks and online marketplace Gazelle.com, we enable people all over the world to join the mobile device re-use revolution, a revolution that will get billions of used smartphones out of the e-waste cycle and into the hands of people who don’t have affordable access to the empowerment of the latest mobile technology.

At ecoATM we know our employees are our greatest strength and the key to our continued growth and success. When you join our team, you will enjoy more than just a job, you will be empowered to develop and utilize your unique talents and skills to build a rewarding career while making a lasting, positive impact on the planet.

Our Values and Leadership Behaviors

About The Role

As a Senior SDET, you will play a key leadership role in our test automation team, responsible for the design, development, and optimization of test frameworks and assets in a Continuous Integration/Continuous Deployment (CI/CD) environment. You will be expected to drive quality practices across the engineering lifecycle, lead cross-functional collaboration, and mentor a team of SDETs and QAs.

In this highly visible and impactful role, you will be responsible for implementing and advocating for industry-leading testing strategies—spanning functional, performance, security, and integration testing. Your work will directly contribute to increasing ecoATM’s release quality and reducing development costs through robust automation and shift-left quality practices.

We are seeking a proactive, self-motivated individual with strong technical and leadership skills who thrives in a fast-paced, collaborative environment.

\n\n

Key Responsibilities

Design and implement advanced test plans and automation strategies aligned with product specifications and business objectives.
Lead the development of modular, scalable test automation frameworks that support both automated and manual testing efforts.
Drive the adoption of modern test tools, technologies, and practices to improve release velocity and product quality.
Collaborate cross-functionally with Product, Development, and DevOps teams to define test strategies across front-end, backend, and full-stack architectures.
Champion shift-left testing, CI/CD quality gates, and test data automation.
Guide and mentor junior SDETs and QA engineers, conducting code reviews and training on best practices.
Review technical requirements and participate in architectural and design discussions to provide quality insight early in the lifecycle.
Establish and track QA metrics and KPIs for continuous improvement.
Ensure clear QA documentation including test plans, strategies, and defect reports.

\n\n\n\n\n\n\n\n\n\n

Education & Experience

Bachelor's degree in Computer Science, Software Engineering, or related discipline (or equivalent practical experience).
8+ years of experience in software test development and automation for web and mobile applications.
5+ years of hands-on experience with CI/CD pipelines and related tooling.
5+ years of experience in leading and mentoring QA/SDET teams, with a focus on enabling automation and shift-left testing.
Proven experience designing test automation frameworks and setting up test environments.
Deep understanding of application architectures, including frontend, backend, API, messaging, and database tiers.

\n\n\n\n\n\n\n

Technical Skills

Languages/Frameworks: Java, Python, JavaScript, Selenium, Cypress, WebDriverIO, Cucumber, Espresso, xUnit
Tools: Jenkins, GitHub, Atlassian Suite (JIRA, Confluence), Postman, Sauce Labs, TestComplete
Databases: Strong SQL knowledge, including joins and complex queries
Platforms: Android Studio, Visual Studio, CI/CD tools and environments

\n\n\n\n\n

Key Competencies

Strong analytical, debugging, and problem-solving skills
Effective communicator—both written and verbal
Demonstrated ability to work under pressure and meet deadlines
Deep understanding of SDLC, agile methodologies, and test lifecycle integration
Passionate about quality, automation, and engineering excellence
Strong ownership mentality with the ability to drive initiatives independently

\n\n\n\n\n\n\n

Compensation: $140-$155k + Bonus + LTIPS

Base pay offered may vary depending on job-related knowledge, skills, and experience. This information is provided per CA SB 1162 (“CA Pay Transparency Law”). Base pay information is based on market location. Learn more about ecoATM benefits here.

This position may also be eligible for short-term and long-term incentives based on individual and company performance.

This job description is not intended to be all-inclusive. Employee may perform other related duties as assigned to meet the ongoing needs of the organization.

Here at ecoATM/Gazelle we value diversity & belonging and are proud to be an Equal Employment Opportunity employer. All applicants are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic, and are fairly and equitably compensated based on current market data. If you need assistance, or an accommodation, please let your recruiter know.

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Description De L'Entreprise

Sopra Steria, acteur majeur de la Tech en Europe, avec 51 000 collaborateurs dans près de 30 pays, est reconnu pour ses activités de conseil, de services et solutions numériques. Il aide ses clients à mener leur transformation digitale et à obtenir des bénéfices concrets et durables. Le Groupe apporte une réponse globale aux enjeux de compétitivité des grandes entreprises et organisations, en combinant une connaissance approfondie des secteurs d’activité et des technologies à une approche collaborative. Sopra Steria place l’humain au cœur de son action et s’engage auprès de ses clients à tirer le meilleur parti du numérique pour construire un avenir positif. En 2024, le Groupe a réalisé un chiffre d’affaires de 5,8 milliards d’euros.
\n
\nThe world is how we shape it

Description Du Poste

Votre futur environnement de travail

Intégré(e) au sein d’une équipe Sopra Steria, pour un de nos Grands Comptes Bancaires, vous participerez à un projet Big Data, en mode Agile, et interviendrez en tant que référent technique au sein de votre équipe.

Votre RôLe Et Missions :

A cette occasion vous serez amené à :

Apporter votre expertise et votre expérience à vos collègues lors des phases de conception et développement ;
Accompagner vos collègues dans leur montée en compétence technique au sein du projet ;
Définir et implémenter des solutions au sein d’un périmètre applicatif existant ;
Proposer des idées d’amélioration continue à votre client et à votre équipe (revue de procédures, mise en place de nouveaux outils dans le cadre de livraison, test ou qualimétrie) ;
Concevoir et développer des sujets complexes.

Environnement Du Projet :

Méthodologie projet : Mode Agile (Framework Scrum).

Environnement Technique :

Hdfs, hive, spark, oozie
Scala, HQL, Shell
GitLab, Nexus, Maven, Jenkins, Sonar

Environnement Fonctionnel :

Alimentation d’un DataLake jusqu‘au build d’un moteur de calcul
Intervention sur la mise en place de règles relatives aux normes Bâloises

Qualifications

De formation Bac+5 ou équivalent, vous avez au moins 5 ans d’expérience dans la data dont 3 ans en Big Data, notamment sur les technologies mentionnées ci-dessus.

Vous aimez travailler en équipe, relever les défis techniques, conseiller et apporter votre valeur ajoutée à une équipe.

Vous savez être challengeant et leader envers le client et l’équipe de développement en ce qui concerne l’amélioration continue (processus de livraison, automatisation du testing/validation, maintenance des bonnes pratiques et performance des runs).

Vous aimez vous tenir informé des nouveautés technologiques et êtes à la recherche d’une évolution de carrière basée sur l’expérience projet et l’acquisition de nouvelles compétences.

Informations SuppléMentaires

Un accord télétravail pour télétravailler jusqu’à 2 jours par semaine selon vos missions.
Un package avantages intéressant : une mutuelle, un CSE, des titres restaurants, un accord d’intéressement, des primes vacances et cooptation.
Un accompagnement individualisé avec un mentor.
Des opportunités de carrières multiples : plus de 30 familles de métiers, autant de passerelles à imaginer ensemble.
Plusieurs centaines de formations accessibles en toute autonomie depuis l’app mobile avec Sopra Steria Academy.
La possibilité de s'engager auprès de notre fondation ou de notre partenaire « Vendredi ».
L'opportunité de rejoindre le collectif Tech'Me UP (formations, conférences, veille, et bien plus encore…).

Employeur inclusif et engagé, notre société œuvre chaque jour pour lutter contre toute forme de discrimination et favoriser un environnement de travail respectueux. C’est pourquoi, attachés à la mixité et à la diversité, nous encourageons toutes les candidatures et tous les profils.

https://www.soprasteria.fr/nous-connaitre/nos-engagements

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Big Data Engineer

Department: Technology
Employment Type: Full Time
Location: Barcelona

Description

\n
As part of the Big Data Team, you will be using cutting edge technologies to work on collating data across different sources within GiG. Sources are all in real time, and you will be supporting an event driven micro service lambda architecture.

\n\n
Your focus is to work with the current agile team and contribute to the platform’s objectives and continue being an enabler to many other data technology stakeholders such as the Business Intelligence, Data Science and Quality Assurance teams. You will be up for a challenge, to continue maintaining and adding new features to a platform that ingests up to 5000 messages per second across multiple products such as Lottery, Sports and Casino.

\n\n
Reporting to the Lead Big Data Engineer and supported by the Big Data Architect to follow best practices, you’ll be guided into delivering world class product increments that support our Tier 1 Platform.

\n\n

\n

Key Responsibilities

Participate in all agile scrum meetings such as daily standups, refinement sessions, retro sessions, etc
Maintaining the data platform by means of daily reconciliations, data reloads, tackling support tickets, etc.
Being able to come up with new ideas to improve existing products and services.
Implementation of bug fixes and enhancements within the data platform.
Performing code reviews for other engineers.
Taking ownership of releases where necessary
Being able to communicate with the respective stakeholders, making sure that all information is transmitted correctly and to the right audience.
Take ownership of complex, large-scale initiatives, including data migration projects, ensuring successful planning, execution, and delivery.

Skills, Knowledge & Expertise

You’re really awesome at:

Object oriented programming (Java)
Data modelling using any database technologies
ETL processes (ETLs are oldschool, we transfer in memory now) and experience with Apache Spark or Apache NiFi
Applied understanding of CI\\CD in change management
Dockerised applications
Used distributed version control systems
Excellent team player
Meticulous and passionate about your work

You’re also good at:

Functional oriented programming (experience with Python, Scala)
Analytical mindset
Low latency databases such as ClickHouse
Hold a Bachelor’s Degree in Computer Science or equivalent
Can collaborate in scoping exercises
Mentoring skills
Have worked with both Linux and Windows environments.
Unix/Linux

Job Benefits

Great career development opportunities
100% remote or hybrid working model
International Health Insurance
Health and Wellbeing Package (350 EUR per year)
Birthday Day Off
Me Time - 1 day off per year
Lunches in the office for free

","hiringOrganization":{"@type":"Organization","name":"Gaming Innovation Group","sameAs":"https://gig.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Big Data Engineer","datePosted":"2025-09-18","description":"

Big Data Engineer

Department: Technology
Employment Type: Full Time
Location: Malta

Description

Key Responsibilities

Participate in all agile scrum meetings such as daily standups, refinement sessions, retro sessions, etc
Maintaining the data platform by means of daily reconciliations, data reloads, tackling support tickets, etc.
Being able to come up with new ideas to improve existing products and services.
Implementation of bug fixes and enhancements within the data platform.
Performing code reviews for other engineers.
Taking ownership of releases where necessary
Being able to communicate with the respective stakeholders, making sure that all information is transmitted correctly and to the right audience.
Take ownership of complex, large-scale initiatives, including data migration projects, ensuring successful planning, execution, and delivery.

Skills, Knowledge & Expertise

You’re really awesome at:

Object oriented programming (Java)
Data modelling using any database technologies
ETL processes (ETLs are oldschool, we transfer in memory now) and experience with Apache Spark or Apache NiFi
Applied understanding of CI\\CD in change management
Dockerised applications
Used distributed version control systems
Excellent team player
Meticulous and passionate about your work

You’re also good at:

Functional oriented programming (experience with Python, Scala)
Analytical mindset
Low latency databases such as ClickHouse
Hold a Bachelor’s Degree in Computer Science or equivalent
Can collaborate in scoping exercises
Mentoring skills
Have worked with both Linux and Windows environments.
Unix/Linux

Job Benefits

Great career development opportunities
100% remote or hybrid working model
International Health Insurance
Health and Wellbeing Package (350 EUR per year)
Birthday Day Off
Me Time - 1 day off per year
Lunches in the office for free

","hiringOrganization":{"@type":"Organization","name":"Gaming Innovation Group","sameAs":"https://gig.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Malta","addressCountry":"Malta","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Big Data Engineer","datePosted":"2025-09-18","description":"

Big Data Engineer

Department: Technology
Employment Type: Full Time
Location: Madrid

Description

Key Responsibilities

Participate in all agile scrum meetings such as daily standups, refinement sessions, retro sessions, etc
Maintaining the data platform by means of daily reconciliations, data reloads, tackling support tickets, etc.
Being able to come up with new ideas to improve existing products and services.
Implementation of bug fixes and enhancements within the data platform.
Performing code reviews for other engineers.
Taking ownership of releases where necessary
Being able to communicate with the respective stakeholders, making sure that all information is transmitted correctly and to the right audience.
Take ownership of complex, large-scale initiatives, including data migration projects, ensuring successful planning, execution, and delivery.

Skills, Knowledge & Expertise

You’re really awesome at:

Object oriented programming (Java)
Data modelling using any database technologies
ETL processes (ETLs are oldschool, we transfer in memory now) and experience with Apache Spark or Apache NiFi
Applied understanding of CI\\CD in change management
Dockerised applications
Used distributed version control systems
Excellent team player
Meticulous and passionate about your work

You’re also good at:

Functional oriented programming (experience with Python, Scala)
Analytical mindset
Low latency databases such as ClickHouse
Hold a Bachelor’s Degree in Computer Science or equivalent
Can collaborate in scoping exercises
Mentoring skills
Have worked with both Linux and Windows environments.
Unix/Linux

Job Benefits

Great career development opportunities
100% remote or hybrid working model
International Health Insurance
Health and Wellbeing Package (350 EUR per year)
Birthday Day Off
Me Time - 1 day off per year
Lunches in the office for free

","hiringOrganization":{"@type":"Organization","name":"Gaming Innovation Group","sameAs":"https://gig.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Madrid","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Technical Program Manager, Big Data Analytics, Measured Work","datePosted":"2025-09-18","description":"

Minimum Qualifications:

Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
2 years of experience in big data and analytics.

Preferred Qualifications:

Master's degree in Information Systems, Operations Research, Computer Science, Mathematics, Statistics, Engineering or a related field.
5 years of experience with technical program management in a data-related domain.
Experience with SQL and other databases, automation or business intelligence skills (e.g. JavaScript, Python, R).
Experience with SAP, SQL, dashboards and advanced data analytics/statistical analysis.
Knowledge of Enterprise Resource Planning (ERP) systems such as SAP and SQL programming.

About The Job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

As a Technical Program Manager in Measured Work, you will be building systems and mechanisms to obtain, process, analyze and interpret large volumes of data to help solve a problem for Google's cloud business operations. You will be partnering with the customers in and outside of the organization to build tools that provide insights into the data center floor.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Responsibilities

Work with stakeholders to define, document and implement solutions based on data.
Work cross-functionally with global program managers, data engineers and data scientists to understand, implement and deploy actionable enterprise data management solutions.
Drive improvements for both system and process to achieve data integrity, data transparency and efficient user experience.
Advocate a data-centric culture that embraces process excellence and data-driven decisions to achieve business objectives.
Promote clarity and focus on delivering incremental value to the organization.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Big Data Lead","datePosted":"2025-09-18","description":"Primary Skills: Snowflake, Snow SQL, Snow Pipe, SQL 8+ years of experience as a Snowflake developer or data engineer with a focus on data warehousing and ETL. Snowflake certification(s) is a plus. Strong SQL skills and proficiency in data modeling and database design. Knowledge of cloud data warehousing concepts and best practices. Familiarity with data integration tools and technologies. Solid understanding of data governance, data security, and compliance requirements. Experience with version control systems and deployment processes. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration abilities. Ability to work in an Agile or iterative development environment. Collaborate with data architects to design and develop Snowflake data models and schemas Write complex SQL queries, stored procedures, and user-defined functions (UDFs) to support data analytics and reporting needs Ensure SQL code follows best practices for readability and performance Develop ETL (Extract, Transform, Load) processes to ingest data from various sources into Snowflake Design and implement data pipelines using Snowflake features like tasks and streams Strong knowledge in Snow pipe and snow SQL\"","hiringOrganization":{"@type":"Organization","name":"Hexaware","sameAs":"https://hexaware.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Software Engineer II - Python/Java, Apache Spark, Big Data","datePosted":"2025-09-18","description":"

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Commercial and Investment Bank's Risk Central Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job Responsibilities

Investigate data issues, provide support on data issues.
Develop automation for data extraction.
Design and tune schema for data landed on platform, land data from various firm sources into big data warehouse
Partner with information modelling teams on firm wide logical data models.
Act as a primary subject matter expert (SME) for data in analytics platform.
Develop data quality rules and controls for data
Analyze and solve query performance bottlenecks in Cloud based warehouses like Redshift and AWS Glue

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
3+ years of experience in big data and analytics.
Strong hands on coding in any one of Python, Java and Apache Spark & SQL
Strong CS fundamentals, data structures, algorithms with good understanding of big data
Experience with AWS application development
Excellent communication skills are a must for this position
Experience with Unix/Linux and shell scripting

Preferred qualifications, capabilities, and skills

Ability to code in Apache Spark using Scala is an added advantage
Good understanding of data modelling challenges with big data
Experience with services such as Lambda, Glue, ECS/EKS would be an added plus.
Good understanding of Financial data especially in front office investment banking is a major plus

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai, Maharashtra, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Senior Software Development Engineer in Test (SDET)","datePosted":"2025-09-18","description":"

Cribl Does Differently.

What does that mean? It means we are a serious company that doesn’t take itself too seriously; and we’re looking for people who love to get stuff done, and laugh a bit along the way. We’re growing rapidly - looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company we believe in empowering our employees to do their best work, wherever they are.

As the data engine for IT and Security many of the biggest names in the most demanding industries trust Cribl to solve their most pressing data needs. Ready to do the best work of your career? Join the herd and unlock your opportunity.

Why You’Ll Love This Role.

Cribl is looking for a Senior Software Development Engineer in Test (SDET) to join our System Test team. If you love solving complex problems and want to see your work directly improve the customer experience, this is the team for you. We take on the unique challenge of building simulated customer environments that mirror how our products are used in the real world to help find those issues you won’t find with typical automated testing. As a fast-growing, remote-first company, Cribl’s mission is to unlock the value of all observability data. Our solutions give organizations unprecedented visibility, intelligence, and control over their real-time data. Backed by Sequoia and CRV, Cribl’s products are trusted by some of the largest companies in the world, processing hundreds of terabytes to petabytes of IT and security data every day for Site Reliability Engineers, System Engineers, and Technical Operations teams.

As An Active Member Of Our Team, You Will…

Integrate with, improve, and build upon our continuous testing systems, testing automation, and reporting of quality metrics
Collaborate with cross-functional teams to understand how the product is used by customers in order to develop test strategies and help troubleshoot customer issues
Work closely with development teams to ensure proper test planning and execution is incorporated as early as possible in our release cycles and maximizes testing coverage
Be expert in identifying performance bottlenecks, spotting anomalous system behavior, and determining the root cause of issues
Effectively communicate insights and plans to cross-functional team members and management

If You Got It - We Want It

5+ years’ experience as a Software Engineer or SDET with a Computer Science degree and/or relevant experience
Hands-on experience with cloud platform technologies (e.g. Docker, Kubernetes, and AWS)
Proven proficiency in coding in at least one language, preferably experience with more than one language
Proficiency in designing test frameworks/suites and developing test automation, encompassing both frontend and backend, is important for excelling in this role
Experience designing and developing tools and tests for complex customer use cases.
Experience cross collaborating with other teams such as Support, Sustained Engineering and Customer escalations for instance.
Understanding and/or experience working with data intensive applications and/or data streams processing
Detail-oriented and dedicated to elegant and high-quality software; enjoys uncovering bugs
Excellent communication skills, both verbal and written; able to explain complex technical topics to both internal and external stakeholders with ease and in remote/distributed environments

Salary Range ($145,000 - $165,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

#Li-Am1#Li-Remote

Bring Your Whole Self
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.

","hiringOrganization":{"@type":"Organization","name":"Cribl","sameAs":"https://cribl.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Data Engineering Lead - Big Data Technologies- Vice President","datePosted":"2025-09-18","description":"

The Engineering Lead Analyst is a senior level position responsible for leading a variety of engineering activities including the design, acquisition and deployment of hardware, software and network infrastructure in coordination with the Technology team. The overall objective of this role is to lead efforts to ensure quality standards are being met within existing and planned framework.

Responsibilities:

Strategic Leadership: Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy. This includes understanding the data needs of portfolio managers, investment advisors, and other stakeholders in the wealth management ecosystem.
Team Management: Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.
Architecture and Design: Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data. This includes designing solutions for handling large volumes of structured and unstructured data from various sources.
Technology Selection and Implementation: Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data.
Performance Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness, ensuring optimal access to global wealth data.
Collaboration: Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions that support investment strategies and client reporting.
Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations, particularly around sensitive financial data.

Qualifications:

10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks.
4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
Experienced in working with large and multiple datasets and data warehouses
Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets.
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira
Experience with external cloud platform such as OpenShift, AWS & GCP
Experience with container technologies (Docker, Pivotal Cloud Foundry) and supporting frameworks (Kubernetes, OpenShift, Mesos)
Experienced in integrating search solution with middleware & distributed messaging - Kafka
Highly effective interpersonal and communication skills with tech/non-tech stakeholders.
Experienced in software development life cycle and good problem-solving skills.
Excellent problem-solving skills and strong mathematical and analytical mindset
Ability to work in a fast-paced financial environment

Education:

Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Systems & Engineering

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

","hiringOrganization":{"@type":"Organization","name":"Citi","sameAs":"https://www.citigroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"5 CHANGI BUSINESS PARK CRESCENT CHANGI BUSINESS PARK SINGAPORE, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Senior Software Development Engineer in Test","datePosted":"2025-09-18","description":"

Job Title:

Senior Software Development Engineer in Test

About Trellix:

Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions.
We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/.

Role Overview:

Trellix is looking for a highly skilled and motivated Software Development Engineer in Test to join our XDR Engineering team. As an SDET, you will play a crucial role in designing, implementing, and executing test suites with focus on Trellix API platform. The role requires proficiency in AWS and automation testing frameworks.

About The Role:

Develop And Implement Test Plans, Test Cases, And Automated Test Suites.
Identify, Analyze, And Document Bugs Found During Testing.
Work With Developers And Other Stakeholders To Resolve Identified Issues And Ensure The Product Meets Quality Standards.
Contribute To The Development And Improvement Of Qa Processes And Tools.

About You:

Candidate Should Have 5 – 8 Years Working Experience As A Software Development Engineer In Test (Sdet).
Proficient In Automation Testing Frameworks (Any Of Selenium, Appium, Playwright, Cypress).
Excellent Knowledge Of Aws Especially Services Like Lambda And Eks.
A Fair Level Of Proficiency In Java And Node.Js
Integrate Test Automation Into Ci/Cd Process And Instrumenting Full Sdlc Automation With Tools Like Jenkins Or Team City Or Github Actions.
Experienced In Agile Or Scrum Software Development Methodologies.
Excellent Written And Verbal Communication And Can Work With Minimal Guidance. Knows What Needs To Be Done To Meet Delivery Timelines, Acts With Urgency As Needed.
Demonstrate Ability To Work Effectively Both Within A Team And Cross-Group To Drive Identification And Resolution Of Issues To Ship Under Tight Deadlines.

Company Benefits And Perks:

We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement

We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

","hiringOrganization":{"@type":"Organization","name":"Trellix","sameAs":"https://www.trellix.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India, Bangalore","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Big Data Engineering Vice president","datePosted":"2025-09-18","description":"

The Applications Development Tech Lead Analyst is responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis, development and maintenance activities. This role requires hands-on development and participation in entire software/application development lifecycle.

Responsibilities:
•   Manage one or more Applications Development teams in an effort to accomplish established goals
•   Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
•   Review/analyze/develop proposed technical solutions for projects
•   Contribute to formulation of strategies for applications development and other functional areas
•   Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
•   Provide evaluative judgment based on analysis of factual data in complicated and unique situations
•   Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project
•   Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary
•   Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Core Skills:
The Data Engineering lead will be working very closely with and managing the work of a team of data engineers working on our Big Data Platform. The lead will need the below core skills –
•   Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
•   Hands-on experience working with Hive, Impala, Kafka, HBase, Spark for data curation/conformance related work.
•   Strong proficiency in Spark for development work related to curation/conformance. Strong Scala development (with previous Java background) preferred.
•   Experience with Spark/Kafka or equivalent streaming/batch processing and event-based messaging.
•   Strong data analysis skills and the ability to slice and dice the data as needed for business reporting.
•   Relational SQL (Oracle, SQL Server), NoSQL (MongoDB) and Cache (Couchbase) database integration and data distribution principles experience
•   Leadership & Mentorship: Ability to guide and mentor junior developers, fostering a collaborative team environment and promoting professional growth.
•   Communication Skills: Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences.
•   DevOps Practices: Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes.
•   Software Engineering Principles: Proficient in industry-standard best practices such as Design Patterns, Coding Standards, Coding modularity, and Prototyping.
•   Data Visualization: Experience with data visualization tools and techniques for presenting data insights effectively.
•   Agile Methodologies: Familiarity with agile development methodologies and experience working in agile and scaled agile teams.

Additional Requirements (Nice to have):
•   Cloudera/Hortonworks/AWS EMR, S3 experience a plus
•   Experience with Cloud Integration on AWS, Snowflake or GCP tech stack components.
•   Experience with API development and use of JSON/XML/Hypermedia data formats.
•   Analysis and development across Lines of business product/function including Payments, Digital Channels, Liquidities, Trade, Sales, Pricing, Client Experience having Cross train, functional and/or technical knowledge

Qualifications:
•   12+ Years of relevant experience in the Big Data Application Development
•   Experience as Applications Development Manager
•   Experience as senior level in an Applications Development role
•   Stakeholder and people management experience
•   Demonstrated leadership skills
•   Proven project management skills
•   Basic knowledge of industry practices and standards

Education:
• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

Other Relevant Skills

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

","hiringOrganization":{"@type":"Organization","name":"Citi","sameAs":"https://www.citigroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"PLOT NO-1, S.NO. 77, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Lead Big Data Engineer - Java & Hadoop/ Spark","datePosted":"2025-09-18","description":"

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

The Genesys Cloud Analytics platform is the foundation on which decisions are made that directly impact our customer’s experience as well as their customers’ experiences. We are a data-driven company, handling tens of millions of events per day to answer questions for both our customers and the business. From new features to enable other development teams, to measuring performance across our customer-base, to offering insights directly to our end-users, we use our terabytes of data to move customer experience forward.

In this role, you will be a technical leader with your expertise working in our Batch Analytics team, which manages EMR pipelines on Airflow that process peta bytes of data. We’re all about scale.

The best person will have a strong engineering background, not shy from the unknown, and will be able to articulate vague requirements into something real. We are a team whose focus is to operationalize big data products and curate high-value datasets for the wider organization as well as to build tools and services to expand the scope of and improve the reliability of the data platform as our usage continues to grow on a daily basis.

Summary:

Build and manage large scale pipelines using Spark and Airflow.
Develop and deploy highly-available, fault-tolerant software that will help drive improvements towards the features, reliability, performance, and efficiency of the Genesys Cloud Analytics platform.
Actively review code, mentor, and provide peer feedback.
Engineer efficient, adaptable and scalable architecture for all stages of data lifecycle (ingest, streaming, structured and unstructured storage, search, aggregation) in support of a variety of data applications.
Build abstractions and re-usable developer tooling to allow other engineers to quickly build streaming/batch self-service pipelines.
Build, deploy, maintain, and automate large global deployments in AWS.
Troubleshoot production issues and come up with solutions as required.
This may be the perfect job for you if:
You have engineered scalable software using big data technologies (e.g., Hadoop, Spark, Hive, Presto, Elasticsearch, etc).
You have a strong engineering background with ability to design software systems from the ground up.
You have expertise in Java. Python and other object-oriented languages are a plus.
You have experience in web-scale data and large-scale distributed systems, ideally on cloud infrastructure.
You have a product mindset. You are energized by building things that will be heavily used.
Open to mentoring and collaborating with junior members of the team.
Be adaptable and open to exploring new technologies and prototyping solutions within a reasonable cadence.
You design not just with a mind for solving a problem, but also with maintainability, testability, monitorability, and automation as top concerns.

Technologies we use and practices we hold dear:

Right tool for the right job over we-always-did-it-this-way.
We pick the language and frameworks best suited for specific problems.
Ansible for immutable machine images.
AWS for cloud infrastructure.
Automation for everything. CI/CD, testing, scaling, healing, etc.
Hadoop and Spark for batch processing
Airflow For Orchestration.
Dynamo, Elasticsearch, Presto, and S3 for query and storage.

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

","hiringOrganization":{"@type":"Organization","name":"Genesys","sameAs":"https://www.genesys.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Galway (Flexible), Ireland","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Staff / Lead Data Engineer (AWS, Big Data)","datePosted":"2025-09-18","description":"

Staff / Lead Data Engineer (AWS, Big Data)

You are determined to stay ahead of the latest Cloud, Big Data and Data warehouse technologies.
We're one of the largest and most advanced Data Engineering teams in the country.
Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers.

Do Work That Matters:

As a Staff Data engineer with expertise in software development / programming and a passion for building data-driven solutions, you’re ahead of trends and work at the forefront of Big Data and Data warehouse technologies.

Which is why we’re the perfect fit for you. Here, you’ll be part of a team of engineers going above and beyond to improve the standard of digital banking. Using the latest tech to solve our customers’ most complex data-centric problems.

See yourself in our team

To us, data is everything. It is what powers our cutting-edge features and it’s the reason we can provide seamless experiences for millions of customers from app to branch.

We’re responsible for CommBank’s key analytics capabilities and work to create world-leading capabilities for analytics, information management, decisioning and Generative AI. We work across different platforms like AWS Cloud, Cloudera Hadoop Big Data, Teradata Group Data Warehouse, Ab Initio, Gen AI, etc.

We are interested in hearing from people who:

Possess commendable experience in consistently driving cost effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals is essential.
Provides thought leadership and contributes to the design of technical solutions and consumption patterns, including data security and data management.
Responsible for technical governance, implementation, risk management and adoption for programs of work.
Provide technical leadership and mentor other engineers in Agile teams delivering project work or initiative.
Have a natural drive to educate, communicate and coordinate with different internal stakeholders and consultants.
Are experienced in providing data driven solutions that source data from various enterprise data platform into AWS Cloud Big Data environment, using technologies like Spark/EMR, MapReduce, Athena/Hive, Sqoop, Kafka; transform and process the source data to produce data assets; and transform and egression to other data platforms like Teradata or RDBMS (Redshift).
Are experienced in building effective and efficient Big Data and Data Warehouse frameworks, capabilities, and features, using common programming language (Scala, Java, or Python), with proper data quality assurance and security controls.
Are experienced in designing, building and delivering optimised enterprise wide data driven solutions in the Cloud to build various enterprise data platform into AWS platform using technologies like S3, EMR, Glue, Iceberg, Athena, Kinesis or MSK/Kafka; transform and process the data to produce data assets for Redshift / PostgresSQL (RDBMS) and DocumentDB / MongoDB (NoSQL).
Are confident in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources.

Technical Skills

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team.

Experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions using common programming language (Scala, Java, or Python) in a Big Data and Data Warehouse platform.
Experience in building data solution in Hadoop platform, using Spark, MapReduce, Sqoop, Kafka and various ETL frameworks for distributed data processing and storage (HDFS Parquet, ORC, JSON, etc.).
Experience in building data solution using AWS Cloud technology (EMR, Glue, Iceberg, Kinesis, MSK/Kafka, Redshift/PostgresSQL, DocumentDB/MongoDB, S3, etc.).
Possess ability to produce conceptual, logical and physical data models using data modelling techniques such as Data Vault, Kimball, 3NF, etc.
Demonstrate expertise in design patterns (FSLDM, IBM IFW DW) and data modelling frameworks including dimensional, star and non-dimensional schemas.
Strong Unix/Linux Shell scripting and programming skills in Scala, Java, or Python.
Proficient in SQL scripting, writing complex SQLs for building data pipelines.
Familiarity with data warehousing and/or data mart build experience in Teradata, Oracle or RDBMS system is a plus.
Certification on Cloudera CDP, Hadoop, Spark, Teradata, AWS Data Practitioner/Architect

Working With Us:

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.

If this sounds like the role for you then we would love to hear from you. Apply today!

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 14/10/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eveleigh, NSW - 1 Locomotive Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Data Engineer (Big Data)","datePosted":"2025-09-18","description":"

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Engineer within PNC's Technology organization, you will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL, Dallas, TX or the Chicago market. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions.
Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development.
Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.
Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability.
Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning

Competencies

Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $55,000.00 – $159,000.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 08/11/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say \"Workday\" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (Eeo)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements.

Come join us in delivering better outcomes for our clients around the world!

What Is The Technology Quality Assurance Team Responsible For?

Technology Quality Assurance (TQA) is dedicated to ensuring the best quality of software products are developed and Customer Experience is enhanced. Quality Engineering team builds, reuse and supports technology agnostic automated frameworks, supporting Legacy, Digital, Data and NextGen platforms.
We are seeking a Sr Software Development Engineer in Test (Sr SDET) who has passion for using technology to develop and maintain solutions for Investment management. Experience in Investment Risk Management and Risk systems is preferred. Passion for learning investment risk is must for you to be successful in this position.

What Are The Ongoing Responsibilities Of A Senior Software Development Engineer In Test (Sdet)?

A Senior Software Development Engineer in Test (Sr SDET) at Franklin Templeton is a developer with the responsibility of developing frameworks and tools to test products for functional and non-functional testing, Data Analytics testing and any non-functional testing like (Security/Performance/accessibility)
It is a unique role, providing immense opportunity to design and develop and Test wide range of Applications with focus experience on Data Integration projects
Sr SDETs at Franklin Templeton can understand software architecture, debug code, automate repetitive tasks, and implement new tools and frameworks needed to streamline our quality process.
Our Sr SDETs work directly with both Software Development Engineers and Product Owners to understand project features, review technical designs, and implement automated test tools that help deliver quality features with efficiency. They also understand customer usage models and can develop test plans and test cases that approximate real-world environments and scenarios.
Our Sr SDET is also responsible for grooming junior SDETs, providing oversight by incorporating technical and business domain knowledge. Self-educates to gain a comprehensive understanding of relevant development languages, runtimes, frameworks, database platforms, and tooling.

What Ideal Qualifications, Skills & Experience Would Help Someone To Be Successful?

Must Haves:

Undergrad Degree in Finance, Computer Science, or related field – Graduate Degree Desirable
6+ years of Experience.
Adoption of Artificial Intelligence (AI)
Experience in Investment Management industry/Financial domain.
Basic knowledge of statistical theory, financial instruments, and markets.
Experience of around 2-4 years of relevant experience at Data Testing Center of Excellence,
A firm understanding of data warehouse and database concepts.
The ability to develop strategies, test plans, and test cases specific to data integration and the enterprise’s business.
The ability to create effective ETL test cases and scenarios based on ETL database loading technology and business requirements.
Working on Test Strategy for Complex Data Projects
Testing experiences with multiple DB systems, (e.g., Snowflake, Oracle, SQL Server, DB2, Postgresql).
Understanding of data models, data mapping documents, ETL design, and ETL coding
Advanced skills with SQL queries, stored procedures, and test scripting to delete, define, load, and merge data for tests.
Ability to communicate effectively with data engineers, DB designers and developers.
Use of a variety of data quality verification tools
Implementation of automated testing for ETL processes
Effective use of defect management and to
Testing on Snowflake & AWS Data Migrations
Data Testing Automation Tools
Job Level - Individual Contributor
Work Shift Timings - 2:00 PM - 11:00 PM IST

Experience our welcoming culture and reach your professional and personal potential!

Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.

Hear more from our employees

By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered.

Highlights Of Our Benefits Include:

Professional development growth opportunities through in-house classes and over 150 Web-based training courses
An educational assistance program to financially help employees seeking continuing education
Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents)
Life insurance for protection of employees’ families
Personal accident insurance for protection of employees and their families
Personal Loan Assistance
Transport Facility
Library
Employee Stock Investment Plan (ESIP)
12 weeks Paternity leave
Onsite fitness center, recreation center, and cafeteria
Child day care facility for women employees
Cricket grounds and gymnasium
Health Center with doctor availability
HDFC ATM on the campus
Learn more about the wide range of benefits we offer at Franklin Templeton

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

","hiringOrganization":{"@type":"Organization","name":"Franklin Templeton","sameAs":"https://www.franklintempletonglobal.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-HYEB/G-Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Big Data Engineer","datePosted":"2025-09-18","description":"

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities:

Design, development of BigData applications/ pipelines using Spark, Scala, SQL, Pyspark, Python, Java
Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

4-8 years of experience in software development, building large scale distributed data processing systems or large-scale applications
Designing & developing Big Data solutions with at least one end to end implementation.
Strong Hands-on experience in following technical skills: Apache Spark, Scala/ Java, XML/ JSON/ Parquet/ Avro, SQL, Linux, Hadoop Ecosystem (HDFS, Spark, Impala, HIVE, HBASE etc.), Kafka.
Performance analysis, troubleshooting and issue resolution and Exposure to latest Cloudera offerings like Ozone, Iceberg.
Intermediate level experience in Applications Development role
Consistently demonstrates clear and concise written and verbal communication
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Education:

Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

","hiringOrganization":{"@type":"Organization","name":"Citi","sameAs":"https://www.citigroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"TRIL INFO PARK, LITTLEWOOD TOWER, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Senior Software Development Engineer","datePosted":"2025-09-17","description":"

We are seeking a strong engineer to join our team which is focused on building and maintaining a scalable software control platform for Compute Infrastructure. The systems you build will be used by both external and internal customers and provide mission-critical services.

Major focus areas of software maintained by the team include:

Creating and maintaining highly available APIs for launching and managing Compute resources. This includes not only APIs but highly complex asynchronous workflows, background processing, etc.
Designing and implementing highly scalable systems capable of functioning across numerous regions in a worldwide cloud footprint.
Maintaining a highly scaled data-plane communicating over Kafka

You and members of the team will be called upon to solve many diverse problems, deliver critical customer features, and solve automation problems through robust architectural decisions and customer-first design. You will deliver the solutions that directly contribute to the success of our customers.

\n\n\n\n

We are looking for hands-on engineers with expertise and passion in solving difficult problems in distributed systems, virtualized infrastructure and highly available services. As a Senior Member of Technical Staff you will own the software design and development for major components of Oracle’s Cloud Infrastructure. You should be both a rock solid coder and a distributed systems generalist, able to dive deep into any part of the stack and low level systems, as well as design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.

Qualifications:

4–8+ years experience delivering and operating large scale, highly available distributed systems.
Strong knowledge of C, C++ or Java, and experience with scripting languages such as Python, Perl, etc.
Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.
Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures.
Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies.
Strong understanding of Linux or desire to learn.
Strong troubleshooting and performance tuning skills.
Experience building multi-tenant, virtualized infrastructure a strong plus.

\n\nDisclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $79,800 to $178,100 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC3

\n\n\n

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

\n\n

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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Company Description

Job Description

Please Note: This position will include supporting our US Federal Government Cloud Infrastructure.

The Big Data team is responsible for:

Collecting, storing, and providing real-time access to a large amount of data
Provide real-time analytic tools and reporting capabilities for various functions, including:
Monitoring, alerting, and troubleshooting
Machine Learning, Anomaly Detection, and Prediction of P1s
Capacity planning
Data analytics and deriving Actionable Business Insights

What you get to do in this role:

Responsible for deploying, monitoring, maintaining and supporting Big Data infrastructure and applications on ServiceNow Cloud and Azure environments.
Deploy, scale, and manage containerized Big Data applications using Kubernetes, docker, and other related tools.
Proactively identify and resolve issues within Kubernetes clusters, containerized applications, and data pipelines. Provide expert-level support for incidents and perform root cause analysis.
Triage network-related issues in a containerized environment.
Provide production support to resolve critical Big Data pipelines, application issues, and mitigating or minimizing any impact on Big Data applications. Collaborate closely with Site Reliability Engineers (SRE), Customer Support (CS), Developers, QA and System engineering teams in replicating complex issues leveraging broad experience with UI, SQL, Full-stack and Big Data technologies.
Responsible for enforcing data governance policies and the Definition of Done (DoD) in all Big Data environments.
Install, configure, and upgrade Tableau Server in a clustered environment. Manage user licensing, site administration, and content permissions.
Monitor Tableau Server performance, health, and usage; perform tuning to ensure optimal performance. Automate server monitoring and maintenance tasks using scripting (e.g., PowerShell, Python) and the Tableau Services Manager (TSM) CLI.
Manage Tableau data source connections, extracts, and refresh schedules.
Implement and manage security best practices for the Tableau environment, including user authentication (SAML, Active Directory) and content-level security.

Qualifications

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools like Copilot, Windsurf or similar to automate workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
6+ years of experience working with systems such as HDFS, Yarn, Hive, HBase, Kafka, RabbitMQ, Impala, Kudu, Redis, MariaDB, and PostgreSQL
Deep understanding of Hadoop / Big Data Ecosystem.
Hands-on experience with Kubernetes in a production environment
Deep understanding of Kubernetes architecture, concepts, and operations
Strong knowledge in querying and analyzing large-scale data using VictoriaMetrics, Prometheus, Spark, Flink, and Grafana
Experience supporting CI/CD pipelines for automated applications deployment to Kubernetes
Strong Linux Systems Administration skills
Strong scripting skills in Bash, Python for automation routine tasks.
Proficient with Git and version control systems
Familiarity with Cloudera Data Platform (CDP) and its ecosystem
Experience as a Tableau administrator, configuring and administering Tableau Server with knowledge of Tableau Server best practices for scalability, performance, content management and governance.
Familiarity with Tableau Services Manager (TSM).
Ability to learn quickly in a fast-paced, dynamic team environment and have a mindset to adapt to technology changes.

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

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DescripcióN De La Empresa

Inetum is an international agile digital consulting group. In the post-digital transformation era, our purpose is to enable each of the more than 27,000 people who are part of our team to continuously renew themselves, positively experiencing their own digital flow.
\nWith a presence in 26 countries, we promote flexible career paths, local innovation, and a healthy work-life balance. In addition, Inetum has been recognized as a Top Employer, a certification that endorses our commitment to well-being, professional development, and excellence in talent management.

DescripcióN Del Empleo

As part of the Data Engineer team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. You will interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions.

Experience in agile models
Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
Experience with Java, Python to write data pipelines and data processing layers
Experience in Airflow & Github.
Experience in writing map-reduce jobs.
Demonstrates expertise in writing complex, highly-optimized queries across large data sets
Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase.
Highly Proficient in SQL.
Experience with Cloud Technologies ( GCP, Azure)
Experience with relational model, memory data stores desirable ( Oracle, Cassandra, Druid)
Provides and supports the implementation and operations of the data pipelines and analytical solutions
Performance tuning experience of systems working with large data sets
Experience in REST API data service – Data Consumption
Retail experience is a huge plus.

Requisitos

Bachelor's degree or engineering degree in one of the following areas:

Computer Systems
Computer Science
Information Technology
Software Engineering
Applied Mathematics
Statistics
or related field

OR At least 4 years of verifiable experience in roles related to:

Data engineering
Big Data development experience
Large-scale data processing
Data pipeline development
Use of technologies such as Hadoop, Spark, Kafka, Hive, etc.
English language at conversational level

InformacióN Adicional

Benefits above and beyond the legal requirements.
Work flexibility (hybrid/remote).
Access to cutting-edge tools and technologies.
Opportunity for professional growth in high-impact projects.

","hiringOrganization":{"@type":"Organization","name":"Inetum","sameAs":"https://www.inetum.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, CDMX, Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Data Engineer SemiSenior / OnPremise + Big Data","datePosted":"2025-09-17","description":"

NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.

Estamos en búsqueda de un Data engineer Ssr altamente motivado para unirse a un equipo innovador y dinámico, comprometido con la excelencia en cada etapa del ciclo de vida del software.

Si tienes experiencia en pruebas automatizadas, testing ágil y dominas tecnologías como APIs, GraphQL y frameworks de automatización web y mobile, ¡este es tu lugar!

Principales Responsabilidades:

Diseñar, desarrollar, implementar y mantener soluciones robustas y eficientes para la disponibilización de datos, tanto en entornos OnPremise como en plataformas de Big Data.
Gestionar todo el ciclo de vida de soluciones de datos: análisis, diseño, desarrollo, pruebas, certificación, despliegue y mantenimiento.
Asegurar el cumplimiento de buenas prácticas de desarrollo de software y estándares de calidad en cada entrega.
Optimizar consultas SQL, procedimientos almacenados, vistas y otros objetos relacionados con el tratamiento y transformación de datos.
Desarrollar y mantener procesos ETL/ELT, así como soluciones de virtualización de datos según requerimientos del negocio.
Colaborar estrechamente con equipos de datos, analistas y otras áreas técnicas para garantizar la integridad, disponibilidad y calidad de la información.
Participar activamente en proyectos de gestión de datos, tales como Business Intelligence (BI), Big Data, Data Warehousing y Data Products.
Garantizar la entrega oportuna de los proyectos dentro de los plazos acordados y alineados con los objetivos del negocio.

\n\n

Requerimientos:

Profesional en Ingeniería de Sistemas, Ingeniería de Software o carreras afines con experiencia mínimo de 3 años en rol de Data engineer
Experiencia comprobable en desarrollo y mantenimiento de soluciones de datos en entornos OnPremise y en tecnologías Big Data.
Experiencia sólida en SQL Server y PostgreSQL (manejo avanzado de bases de datos relacionales).
Dominio de lenguajes y herramientas: Python, PySpark, Spark SQL.
Manejo de repositorios de datos en la nube: AWS S3.
Experiencia en desarrollo e implementación de flujos ETL/ELT, tanto en entornos on-premise (ej. SSIS, Pentaho) como en la nube (ej. Azure Data Factory, AWS Glue).
Conocimiento profundo en bases de datos SQL y NoSQL, tanto propietarias como open source.
Manejo de datos estructurados y no estructurados.
Conocimientos Deseables\n\n
Experiencia con Apache Kafka y procesamiento de datos en tiempo real (streaming).
Conocimiento o experiencia en Stratio Data Fabric.
Uso de Apache Airflow para la orquestación de flujos CI/CD y despliegues automatizados.
Familiaridad con metodologías ágiles y trabajo colaborativo en equipos multidisciplinarios.

\n\n

Ofrecemos:

Cultura de innovación y crecimiento profesional
Vinculación a tiempo indeterminado (relación de dependencias)
Beneficios legales
Seguro médico privado
Póliza de vida
Día libre de cumpleaños
Trabajo modalidad híbrida en Quito, Ecuador

Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

Joseline Roca

#Li-Jr1

\n","hiringOrganization":{"@type":"Organization","name":"NEORIS","sameAs":"https://www.neoris.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Quito, Ecuador","addressCountry":"Ecuador","addressRegion":"South America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Senior Software Development Engineer in Test (SDET)","datePosted":"2025-09-17","description":"

About Virtru:

Virtru is a leading data protection provider backed by some of the foremost venture capital firms in Silicon Valley and the Mid-Atlantic region, including Iconiq Capital, Bessemer Venture Partners, Foundry Capital, and Tiger Global. Today, more than ever, data demands respect, and that’s why Virtru is committed to changing the rules for data privacy. At Virtru, we equip our customers to take granular control of their data—everywhere it’s shared—through end-to-end encryption for Google, Microsoft, and other data sharing platforms. Our market-leading portfolio of data encryption and privacy enhancing applications are remarkably easy to use, fast to implement, affordable for all, and built on the Trusted Data Format (TDF) open standard.

At Virtru, our motto is \"Respect the people. Respect the data.\" Respecting data to us means keeping it secure and protected at all times across its entire lifecycle. We firmly believe that when you respect data, you’re demonstrating respect for the people who own that data.

Working at Virtru, you'll be inspired by colleagues who are passionate about the work they do. We are dedicated to creating an atmosphere that sparks creativity, connection, and professional growth while empowering each other to do our best work. We're building something special at Virtru. We hope you consider joining our team and helping us create a brighter future for data privacy.

Compensation: $125,000-$1750,000/year

\n\n

Team & Position Details:

As a Senior Software Development Engineer in Test (SDET), you will be reporting to the QA Engineering Manager. We are looking for a Senior SDET to enhance our test automation efforts across the Virtru Data Security Platform, which includes the TDF Software Development Kit (SDK), Key Server, and ABAC Server. This all-in-one enterprise solution enables secure data management and protection for edge devices. We prioritize privacy, and your contributions will directly impact making privacy more accessible.

\n\n

As a Senior SDET, your responsibilities will include:

Understand the system under test in depth
Design, develop, and execute reliable and efficient automated tests for features and regression testing.
Analyze automated test results, identifying failures as test issues or functional defects.
Work closely with product and engineering teams to identify issues, investigate root causes, and propose solutions.
Support a collaborative environment by giving and receiving constructive feedback.
Communicate effectively with technical and non-technical stakeholders, proactively sharing insights and soliciting feedback.
Participate in planning and estimation, questioning work that lacks value for the engineering team.
Manage risks, uncertainty, and maintain accountability, even in high-pressure situations.
Continuously learn and adapt to fast-changing environments.
Support and contribute to an inclusive and growth-focused team culture.

Skills that will help you thrive in this role:

Experience: 5–8 years testing applications deployed in production.
Automation Expertise: Experience with functional testing, performance testing, accessibility testing and security testing, including test case development and execution.
Desktop Application Testing: Experience with test automation for desktop applications, particularly on Windows OS
Programming Skills: Proficiency in one of these languages or similar: TypeScript, JavaScript, and Python.
Tech Stack: Familiarity with Go, Java, C++, C# on GCP and Microsoft platforms.
Testing Frameworks: Experience with Unit Tests, API Tests, Web UI Tests using Playwright.
API & CLI Testing: Hands-on experience with REST API, and command-line interface (CLI) testing.
Infrastructure & Deployment: Understanding of IaC concepts and familiarity with Terraform, Ansible, Kubernetes (k8s), and cloud environments.

\n\n

Virtruvian qualities that will set you up for success:

Thinking outside of the box to respectfully challenge your teammates and managers in the pursuit of excellence
Strong sense of urgency with an action-oriented mindset
Able to collaborate and adapt to shifting priorities as business needs evolve
Comfortable with asynchronous communication including slack, email, zoom, etc.

\n\n

Perks & Benefits:

At Virtru, we believe people do their best work when their wellbeing is put first. This is why we make your wellbeing our priority with a thoughtful and holistic program that encompasses Occupational, Mental, Social, Physical, and Environmental Wellness by offering benefits such as…

A Flexible PTO policy — we strongly encourage you to take time off (in addition to 14 holidays) to ensure that you are getting the proper time needed to unplug and recharge.
A $1,500 annual Learning & Development Stipend focused on providing you the resources to continually learn and professionally grow.
Frequent company-sponsored team celebrations that provide ample opportunities to connect with teammates and be social!
Access to an Employee Assistance Program
Access to Headspace, a mental health app tailored to your specific needs.
A flat 3% contribution to your retirement account
A high degree of flexibility — Have an appointment, errand, or family emergency to take care of? Hop to it! We give you the time and space to take care of you and your own first.

\n\n

In addition to wellbeing, Virtru places a strong emphasis on diversity, equity, inclusion, and belonging. Our DE&I Council is dedicated to fostering an inclusive workplace and making the psychological safety of each and every one of our teammates a top priority.

\n\n

Additional Perks Include:

Competitive compensation
Generous parental, medical, and bereavement policies
401K contribution and stock options
Full medical, dental, and vision benefits
New Hire Swag and IT Welcome boxes
Structured semi-annual 360° performance reviews

\n\n

Virtru is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. Virtru is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

","hiringOrganization":{"@type":"Organization","name":"Virtru","sameAs":"https://www.virtru.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington D.C","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Data Engineer - BI/Big Data Senior","datePosted":"2025-09-17","description":"

Description De L'Entreprise

Act digital est une société de conseil et d’expertise en technologies créée en 2011. Notre vocation est d’accompagner nos clients sur leurs enjeux de transformation numérique. Notre offre s’articule autour des expertises suivantes :

Software Delivery
Infrastructure & Cloud Computing
Agile IT Performance
Business Performance

Nous sommes un groupe international implanté dans plus d’une dizaine de pays et comptant 5700 collaborateurs.

Notre succès passant par le développement et l’épanouissement de chaque collaborateur, nous attachons beaucoup d’importance à offrir les meilleures conditions de travail possibles :

Télétravail disponible sur une grande partie de nos missions
Un environnement de travail en Flex Office disponible pour tous et tout le temps pour favoriser la communication et la collaboration
Des communautés d’experts pour partager et diffuser les compétences au sein du groupe
Un encadrement projet et un suivi RH de proximité
Des formations et certifications proposées annuellement
Une valorisation des parcours d’expertise de nos consultants
Une ouverture forte sur la mobilité internationale ponctuelle ou de longue durée
Des possibilités d’intrapreneuriat

Description Du Poste

Vous intégrerez, au sein de notre Pôle Transformation Numérique, une équipe d’experts en gestion de la donnée en charge d'accompagner nos clients.

Vous serez détaché(e) chez un acteur majeur du secteur de l'assurance dans une équipe organisée en squad, et interviendrez sur un projet Big Data.

Vos missions seront les suivantes :

Concevoir et faire évoluer l’architecture de la plateforme Big Data & ML sur Azure, en définissant le cadre de référence et en accompagnant les équipes dans son appropriation.
Mettre en œuvre et administrer les services Azure (Databricks, Data Lake Storage, Data Factory, Azure ML) ainsi que l’automatisation des ressources via Terraform et PowerShell.
Définir et déployer les solutions d’ingestion, d’exposition et de consommation des données, en garantissant sécurité, performance et maîtrise des coûts (FinOps).
Piloter l’intégration CI/CD et DevOps avec Azure DevOps (pipelines, artefacts, automatisations) et contribuer aux bonnes pratiques de développement (Python, PowerShell, Git, tests, documentation).
Participer à l’industrialisation des usages IA/ML, notamment via l’intégration d’API LLM et le socle LLMOps.
Collaborer en mode agile (Jira, cérémonies Scrum/Kanban) et jouer un rôle clé dans la coordination technique et la réussite des livraisons.

Qualifications

Vous êtes issu(e) d’une formation Bac+5 (École d’ingénieur, Université ou équivalent …) en informatique
Vous justifiez de 6 ans minimum d'expérience au sein d’une équipe Data/Big Data
Vous maîtrisez les solutions de stockage Azure et l'environnement Data/Big Data
Vous avez des compétences en Databricks/lake, Azure Devops, Azure Devops, ML...
Vous êtes un bon communiquant et disposez de capacités d’analyse et de synthèse éprouvées

Informations SuppléMentaires

Au-delà de vos expertises et compétences, nous recrutons aussi des personnalités, qui vont participer au développement d’Act Digital.

Chez Act Digital, vous pourrez être sollicités pour :

Intervenir sur des phases de recrutement
Participer à des projets de R&D et veille
Rédiger des articles techniques et de publications diverses
Participer à des phases d’avant-vente
Animer des formations en interne
Participer à nos évènements mensuels d’Alter Campus, rendez-vous techniques de partages et d’échanges
Représenter Act Digital dans le cadre d’évènements (Devoxx, Hackathon, Cloud Expo Europe…)

Notre processus de recrutement se décompose ainsi :

Un premier entretien à distance
Test technique
Rencontre avec un Directeur Opérationnel et un Consultant Sénior
Si tout se passe bien, contractualisation RH

If you applied for this position the Controller of your personal will be ALTER SOLUTIONS France, with its registered office at 6 avenue du Général de Gaulle 78000 Versailles. The personal data provided by you will be processed for the purpose of the recruitment process and for future recruitment processes.

You have the right to access the content of your data, request their rectification, erasure, restriction of processing, the right to data portability, the right to object to the processing of your data and the right to lodge a complaint to the DPO (privacy@alter-solutions.com).

","hiringOrganization":{"@type":"Organization","name":"Alter Solutions","sameAs":"https://www.alter-solutions.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, FRANCE, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Next Generation Big Data","datePosted":"2025-09-17","description":"Senior Data Engineer - Next Generation Big Data-25017044

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

What we’re looking for:
You’re a skilled, creative, and motivated engineer who loves developing powerful, stable, and intuitive apps – and you’re excited to work with a team of individuals with that same passion. You’ve accumulated years of experience, and you’re excited about taking your mastery of Big Data and Java to a new level. You enjoy challenging projects involving big data sets and are cool under pressure. You’re no stranger to fast-paced environments and agile development methodologies – in fact, you embrace them. With your strong analytical skills, your unwavering commitment to quality, your excellent technical skills, and your collaborative work ethic, you’ll do great things here at American Express.

Purpose of the Role:
Cornerstone is company’s largest Big Data Platform, ideally suited for computationally and/or data intensive processing applications. Whether the data needs to be processed in batch, online, or streaming manner, Cornerstone provides robust capabilities to handle such workloads effectively, in a cost-efficient manner.
A hub of very hardworking Big Data engineers and most exciting & upcoming technologies. Cornerstone platform offers an environment where Engineers are challenged every day to build world class products.
As we embark on the journey to move to public cloud - GCP you will be part of a fast-paced Agile team, design, develop, test, solve & optimize solutions created to simplify access to the Amex’s Big Data Platform. Focus:
Designs, develops, solves problems, debugs, evaluates, modifies, deploys, and documents software and systems that meet the needs of customer-facing applications, business applications, and/or internal end user applications.

Organizational Context:
Member of an engineering or delivery and integration team reporting to a Senior Engineer, Engineering Director.

Responsibilities:
Software Development
Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)
Participate in code reviews and automated testing
Debug basic software components and identify code defects for remediation
Enable the deployment, support, and monitoring of software across test, integration, and production environments
Automate deployments in test or production environments
Automatically scale applications based on demand projections
Architect, design, develop and maintain enterprise capabilities and systems.
Collaborate with team/s in agile environment on creating, evolving, and maintaining engineering excellence principles related to Code, Code reviews, Testing methodologies (Unit, Integration etc.,) and defect management
Developing prototypes using visualization and other techniques to fast-track concepts.
Seeks continuous improvement by considering solutions that make novel use of existing ideas, approaches, technologies, or products.
Works with Senior engineers and product owners to deliver new features and enhance existing features.

Leadership

Demonstrate increased self-reliance to achieve team goals
Influence team members with creative changes and improvements by challenging status quo and demonstrating risk taking

Range Of Impact/Influence:

Accountable for team completing work you’re leading and work you are doing as agreed upon
Accountable to team for delivery of quality work
6+ years of software development experience in a professional environment and/or comparable experience such as:
Familiar with Agile or other rapid application development methods.
Experience with design and coding across one or more platforms and languages as appropriate.
Hands-on expertise with application design, software development and automated testing.
Experience with distributed (multi-tiered) systems, algorithms, and relational databases.
Thorough understanding and hands-on experience in Bigdata technologies.

Minimum Qualifications:

Good understanding of CI/CD processes.
Good understanding of different data models (Relational, Graph, Document etc.,).
Expertise in objected oriented analysis and design.
Understanding and hands on experience of cloud principles and technologies (AWS, GCP, Dockerization, Kubernetes, Dataflow, BigQuery, Bigtable, Cloud SQL, Dataproc).
Opensource contributions will be an added advantage.
Bachelor’s Degree in computer science, computer science engineering, or related experience required; advanced degree preferred.
Recognizes opportunities to adopt innovative technologies to enable business capabilities.
Keeps up to date on current research and technology in the industry.
Recognizes the importance of collaboration to achieve objectives.
Clearly communicates ideas and concepts to others.

High Performance Behaviors:

Finds opportunities within projects and acts on own initiative without being prompted, including making appropriate decisions as vital.
Provides feedback to team members in code reviews.
Drive creative changes & continuous improvements.
Mentors and guides junior team members to success within the team.
Able to understand and use complex data structures and associated components.
Designs, codes, tests, maintains, and documents applications.
Lead reviews of colleagues’ work.
Defines test conditions based on the requirements and specifications provided.

Knowledge/Skills:

Has deep understanding of the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s).
Deep understanding of infrastructure technologies and components.

Minimum Qualifications

Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

*Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Job

Legacy Technology

Primary Location

US-Arizona-Phoenix

Organization

A6382 - AI Enablement & Automation

Schedule

Full-timeJob Band 35Work Location Options Hybrid

Job Posting

Sep 16, 2025, 2:35:06 PM - Sep 24, 2025, 3:59:00 AM

Recruiter

Monika Zutshi

Hiring Manager

Umesh Singh Chauhan","hiringOrganization":{"@type":"Organization","name":"American Express","sameAs":"https://www.americanexpress.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US-Arizona-Phoenix","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Big Data Engineer","datePosted":"2025-09-17","description":"

Description

We are seeking a Senior Big Data Engineer with a strong background in managing structured and unstructured data pipelines, who thrives in a fast-paced AI-focused environment. You will be instrumental in building and scaling our data lake architecture, supporting a system designed to fuel intelligent AI agents for data collection, labeling, and analytical reasoning. This includes integrating vector databases and optimizing for retrieval-augmented generation (RAG) workflows deployed on AWS Bedrock and other AI stacks.

Responsibilities

Design and implement scalable ingestion pipelines for structured/unstructured data using AWS and Databricks Unity Catalog.
Build and maintain high-throughput ETL/ELT pipelines with Apache Airflow and Databricks.
Architect and manage data modeling, storage, and indexing strategies in PostgreSQL and RDS, ensuring compatibility with AI retrieval systems.
Integrate and manage vector databases to support fast semantic and embedding-based search in RAG pipelines.
Collaborate with AI engineers to ensure seamless compatibility with LangGraph and LangSmith agent systems.
Implement robust data validation, lineage, and governance systems using Unity Catalog.
Optimize performance across distributed compute environments (Databricks, EC2).
Deploy and maintain Lambda-based microservices for scalable, real-time data ingestion and enrichment.

Requirements

5+ years working with big data systems in production environments.
Proven expertise with Databricks, Unity Catalog, and Apache Spark.
Proficiency in Airflow, AWS stack (Lambda, EC2, RDS), and cloud-based data lake architectures.
Strong SQL and database design skills (PostgreSQL preferred).

Preferred Qualifications

Experience with AI agent pipelines or large-scale ML model support.
Working knowledge of vector databases (Chroma, Pinecone, FAISS).
Solid understanding of data lifecycle management in ML/AI contexts.
Bonus: Familiarity with LangGraph, LangSmith, LangChain, or similar agent orchestration tools.
Emphasis on data observability, security, and lineage tracking.
Hands-on with RAG architecture, including vector storage and semantic retrieval.
Exposure to AWS Bedrock and model deployment orchestration.

About Activefence

ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day.

As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

","hiringOrganization":{"@type":"Organization","name":"ActiveFence","sameAs":"https://www.activefence.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Masovian Voivodeship, PL","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Senior Big Data Engineer","datePosted":"2025-09-17","description":"

Description

Start.io is a mobile marketing and audience platform. Start.io empowers the mobile app ecosystem and simplifies mobile marketing, audience building, and mobile monetization. Start.io 's direct integration with over 500,000 monthly active mobile apps provides access to unprecedented levels of global first-party data, which can be leveraged to understand and predict behaviors, identify new opportunities, and fuel growth.

We’re looking for a highly technical, independent, and visionary Big Data Engineer to take ownership of our next-generation distributed training pipelines and infrastructure. This is a hands-on, high-impact role in the core of our algorithmic decision-making systems, shaping how models are trained and deployed at a scale across billions of data points in real-time AdTech environments.

You’ll be responsible for designing and building scalable ML systems from the ground up from data ingestion to model training to evaluation. You'll work closely with Algo researchers, data engineers, and production teams to drive innovation and performance improvements throughout the lifecycle.

What will you do?

Design and implement large-scale, distributed ML training pipelines
Build scalable infrastructure for data preprocessing, feature engineering, and model evaluation
Lead the technical design and development of new ML systems: from architecture to production
Collaborate cross-functionally with DS, infra teams, Product, BA and Engineering teams to define and deliver impactful solutions
Own the full lifecycle of ML infra: tooling, versioning, monitoring, automation, measuring results and quickly responding to critical issues.
Continuously research and adopt best-in-class practices in MLOps, performance tuning, and distributed systems

Requirements

B.Sc. or M.Sc. in Computer Science, Software Engineering, or other equivalent fields.
5+ years of hands-on experience in backend or ML engineering
Strong Python skills and experience working with distributed systems and parallel data processing frameworks such as Spark (using PySpark or Scala), Dask, or similar technologies. Familiarity with Scala is a strong advantage, especially in performance-critical environments.
Proven track record in designing and scaling ML infrastructure
Deep understanding of ML workflows and lifecycle management
Experience in cloud environments (AWS, GCP, OCI) and containerized deployment (Kubernetes)
Understanding databases and SQL for data retrieval.
Strong communication skills and ability to drive initiatives independently
A passion for clean code, elegant architecture, and measurable impact
Monitoring and alerting tools (e.g. Grafana, Kibana)
Experience working with in-memory and NoSQL databases (e.g. Aerospike, Redis, Bigtable) to support ultra-fast data access in production-grade ML services

Why Join Us?

Be the technical lead on a mission-critical domain, shaping how billions of decisions are made daily
Join a top-tier Algo team in one of the most data-intensive industries
Work on systems with massive scale and real-time complexity
Enjoy a flat, fast-moving culture with freedom to lead and execute

","hiringOrganization":{"@type":"Organization","name":"Start.io","sameAs":"https://www.start.io"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Netanya, Center District, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Big Data Lead Engineer — Hadoop, Spark & GCP (BigQuery/DataProc) with Java & Python Expertise","datePosted":"2025-09-17","description":"

Job Summary

Synechron is seeking an experienced Big Data Lead Engineer to drive the design, development, and management of large-scale data solutions. This full-time leadership role involves guiding a team of data engineers and architects to deliver scalable, efficient, and innovative big data initiatives aligned with organizational and business objectives. The role aims to enable data-driven decision-making, optimize data processing workflows, and stay ahead of emerging industry trends to enhance the company's technological capabilities.

Software Requirements

Candidates must possess strong proficiency with big data technologies such as Hadoop, Spark, and NoSQL databases, with proven experience deploying and managing these tools in enterprise environments. Familiarity with data warehousing, ETL processes, and data visualization tools is required. Hands-on experience with cloud platforms, specifically Google Cloud Platform (GCP), is essential, including managing cloud-based data processing tools like DataProc and BigQuery.

Preferred skills include experience with data pipeline orchestration tools, automation frameworks, and advanced analytics solutions. Knowledge of scripting languages such as Python, shell scripting, and familiarity with security and data governance practices will be advantageous.

Overall Responsibilities

Lead a team of big data developers and architects to deliver high-quality data solutions, providing technical guidance, mentorship, and support.
Develop and execute a comprehensive big data strategy that supports business goals, ensuring alignment with organizational priorities.
Oversee project delivery, ensuring timely, within-budget execution that meets or exceeds stakeholder expectations.
Design, implement, and optimize scalable big data architectures leveraging Hadoop, Spark, and NoSQL technologies.
Collaborate with cross-functional teams including product, technology, and marketing to gather requirements and translate them into technical solutions.
Stay current with evolving big data trends and emerging technologies, assessing their applicability to improve existing workflows.
Manage multiple projects, balancing stakeholder needs with team capacity, and prioritize efforts to maximize impact.
Foster a culture of continuous learning, professional growth, and innovation within the team.
Technical Skills (By Category)
Programming Languages:
Required: Proficiency in Java and Python for developing applications, workflows, and automations.
Preferred: Knowledge of scripting languages such as Shell or Perl to support automation and deployment tasks.
Databases/Data Management:
Extensive experience with Hadoop ecosystem components (HDFS, Hive, Spark) and NoSQL databases like Cassandra or MongoDB. Strong capabilities with cloud data warehouses such as BigQuery and Cloud SQL.
Cloud Technologies:
Deep understanding of Google Cloud Platform (GCP), including DataProc, BigQuery, Cloud Storage, and related cloud services for data management and processing.
Frameworks and Libraries:
Hands-on experience with Apache Spark, Hive, and other big data processing libraries; familiarity with data serialization formats like Parquet or Avro.
Development Tools and Methodologies:
Expertise in version control tools such as Git, Agile development practices, and automated CI/CD pipelines to promote efficient workflow management.
Security Protocols:
Knowledge of data security, access control, and compliance standards relevant to cloud data environments to ensure data protection.

Experience Requirements

Minimum of 7+ years of experience in big data and related software development roles.
Real-world leadership experience managing teams of data engineers and architects for at least 5 years.
Proven track record delivering large-scale big data projects within enterprise or consulting environments.
Strong background in designing scalable architectures with Hadoop, Spark, and NoSQL databases.
Industry experience in finance, healthcare, retail, or technology sectors is preferred but not mandatory.
Alternative candidates may demonstrate extensive hands-on experience in data engineering, cloud data migrations, or enterprise analytics projects.

Day-To-Day Activities

Lead design and implementation of big data solutions, including architecture development and data pipeline creation.
Mentor team members through code reviews, technical mentoring, and knowledge-sharing sessions.
Collaborate with stakeholders to clarify requirements, define technical specifications, and ensure solutions meet business needs.
Monitor project progress, manage workload, and address technical challenges promptly.
Ensure data solutions are optimized for performance, reliability, and security.
Stay updated on industry trends and evaluate new tools or processes that could improve project outcomes.
Coordinate across multidisciplinary teams to achieve project milestones and deliverables.
Document technical architecture, processes, and best practices for team capacity building and future reference.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical discipline.
Certifications in big data technologies (e.g., Cloudera Certified Professional, Databricks, or GCP certifications) are preferred.
Proven experience designing and delivering large enterprise data solutions.
Strong commitment to continuous learning and professional development.
Excellent problem-solving, analytical, and troubleshooting skills.

Professional Competencies

Critical thinking to analyze complex data challenges and develop innovative solutions.
Leadership qualities to inspire, mentor, and develop technical talent.
Effective communication skills, capable of explaining complicated technical concepts to non-technical stakeholders.
Strong collaboration and stakeholder management abilities.
Adaptability to rapidly evolving technological trends and project demands.
Ability to manage multiple priorities and deliver results within deadlines.
Forward-thinking mindset focused on sustainable, scalable, and efficient analytics solutions.

SYnechron’S Diversity & Inclusion Statement

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

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About Delinea:
Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. Learn more about Delinea on Delinea.com, LinkedIn, X, and YouTube.

Join our passionate, global team at Delinea and help us make the world a safer and more secure place. Our success is driven by world-class product leadership, outstanding engineers, and strategic investment from TPG. We value diversity, innovation, and a culture of respect and fairness. If you're ready to push boundaries and challenge the status quo in security, we want to hear from you.

Apply today to help us achieve our mission.

Summary:

Working as a Software Engineer at Delinea means being a part of a highly capable, collaborative, and agile development team. Delinea is creating awesome software that's used by thousands of IT professionals all over the globe. This can be a remote/telecommute position based out of your home office. Reports to the Software Development Team Lead.

This position is based in Tel Aviv and will require being on-site in the office two to three days per business week.

What You’Ll Do:

Be a fully contributing member of a Delinea Sprint team.
Work specifically on products related to cloud-hosted applications, such as Privilege Manager Cloud.
Contribute to the development, design and architecture of Front-End applications.

What You’Ll Need:

Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field.
3+ years of backend development experience (Python preferred)
Experience with cloud platforms (Azure, AWS, or GCP)
Familiarity with microservices and container orchestration (Kubernetes)
Strong understanding of REST APIs and data workflows
Experience with databases (SQL/NoSQL) and message brokers (e.g., RabbitMQ)
Solid understanding of software development best practices, including version control,testing, and code documentation.
Excellent problem-solving and analytical skills with a keen attention to detail
Bonus: Experience with cybersecurity, graph databases, or ML pipelines

We'D Love To See:

Ability to quickly read and understand both new and existing code
Ability to look at the big picture, come up with great new ideas and execute those ideas by writing code to make it happen
Passionate about writing quality code and constantly honing your development skills
Experience with Agile software development methodologies
Experience with cloud-based technologies (e.g. Azure, AWS)
Experience with DevOps practices (e.g. continuous integration, continuous deployment)

#Li-Mf1

Delinea Culture & Benefits:

Why work at Delinea?

We’re passionate problem-solvers doing our part to make the world a safer place.
We invest in people who are smart, self-motivated, and collaborative.
What we offer in return is meaningful work, a culture of innovation and great career progression.

At Delinea, our core values are STRONG—Spirited – Trust – Respect – Ownership – Nimble – Global – and guide our behaviors and success. We believe weaving these core values into our day-to-day actions, and our process for hiring, evaluating, and promoting employees, helps us cultivate a work environment that embraces collaboration and camaraderie.

We take care of our employees. We offer competitive salaries, a meaningful equity and bonus program, and excellent benefits, including a full suite of medical, dental, and vision insurance, as well as pension/retirement matching, comprehensive life insurance, an employee assistance program, generous discretionary time off (DTO), and paid company holidays. We support all families with paid leave for new birth, adoption, surrogacy, or foster-to-adopt primary caregivers.

Delinea is an Equal Opportunity and Affirmative Action employer and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Upon conditional offer of employment, candidates are required to complete comprehensive criminal background check, verification of education, and verification of employment, per employment policy. In addition, all publicly posted social media sites may be reviewed.

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As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

The JPMorgan Chase Commercial & Investment Bank is undertaking a strategic, initiative called Client 360 aimed at developing a big data platform and Firmwide solution for Entity Resolution and Relationships. We are seeking a Big Data Software Engineer with skills and experience implementing large-scale, cloud platform processing internal and 3rd party data. This individual will work on groundbreaking work to implement new solutions for Client 360 - Entity Resolution and Relationships and enhance the existing platform.

Job Responsibilities

Acquire and manage data from primary and secondary data sources
Identify, analyze, and interpret trends or patterns in complex data sets
Transform existing ETL logic on AWS and Databricks
Innovate new ways of managing, transforming and validating data
Implement new or enhance services and scripts (in both object-oriented and functional programming)
Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
Apply quality assurance best practices to all work products
Analyze, design and implement business-related solutions and core architectural changes using Agile programming methodologies with a development team
Become comfortable with learning cutting edge technology stacks and applications to greenfield projects

Qualifications

Proficiency in advanced Python programming, with extensive experience in utilizing libraries such as Pandas and NumPy.
Experience in code and infrastructure for Big Data technologies (e.g. Spark, Kafka, Databricks etc.) and implementing complex ETL transformations
Experience with AWS services including EC2, EMR, ASG, Lambda, EKS, RDS and others
Experience developing APIs leveraging different back-end data stores (RDS, Graph, Dynamo, etc.)
Experience in writing efficient SQL queries
Strong understanding of linear algebra, statistics, and algorithms.
Strong Experience with UNIX shell scripting to automate file preparation and database loads
Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues
Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Strong development discipline and adherence to best practices and standards.

Preferred qualifications, capabilities and skills

Experience in Data Science, Machine Learning and AI is a plus
Financial Services and Commercial banking experience is a plus
Familiarity with NoSQL platforms (MongoDB, AWS Open Search) is a plus

\n\n\n\n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n \n\n\n

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

\n\n

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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Company Description

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Job Description

Inetum is seeking a seasoned Big Data Engineer to join our team and support the operations of our Hadoop-based data lake environments. This is a critical role for ensuring the performance, reliability, and security of our big data infrastructure.

Key Responsibilities

Operate, monitor, and support Hadoop-based data lake platforms.
Provide L3 incident response, deep troubleshooting, and performance tuning for big data components.
Ensure data integrity, replication, and capacity management within HDFS clusters.
Develop and automate monitoring and alerting for service health and node performance.
Collaborate with platform and data teams to onboard new workloads with optimal resource allocation.
Apply patches, upgrades, and configuration changes to maintain platform security and stability.
Manage Kerberos authentication, Ranger/Sentry policies, and TLS encryption.
Work with storage, network, and security teams to optimize throughput and access controls.
Maintain cluster documentation and share knowledge across teams.

Qualifications

Bachelor’s degree in Computer Science or equivalent.
Minimum 5 years of experience in a similar role.
Strong expertise in:
Proven ability to diagnose and resolve complex issues in Big Data environments.
Strong communication skills to collaborate with cross-functional teams.
English proficiency: B2-C1 level
Hadoop Ecosystem & Data Lake Operations
Big Data Services & Query Engines
Security & Access Control in Distributed Environments
Monitoring, Automation & Platform Lifecycle Management

Additional Information

Nice To Have:

Big Data certifications (e.g., Cloudera).
Familiarity with Kafka, NiFi, or Flume for ingestion pipelines.
Knowledge of ITIL processes for incident and change management.

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You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II-Big Data/Pyspark at JPMorgan Chase within the Consumer and Community Banking-Customer Identity and Authentication team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics. Implement ETL transformations on big data platforms, utilizing NoSQL databases like MongoDB, DynamoDB, and Cassandra.
Utilize Python for data processing and transformation tasks, ensuring efficient and reliable data workflows. Work hands-on with SPARK to manage and process large datasets efficiently.
Implement data orchestration and workflow automation using Apache Airflow. Apply understanding of Event-Driven Architecture (EDA) and Event Streaming, with exposure to Apache Kafka.
Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure. Deploy and manage containerized applications using Kubernetes (EKS) and Amazon ECS
Implement AWS enterprise solutions, including Redshift, S3, EC2, Data Pipeline, and EMR, to enhance data processing capabilities.
Develop and optimize data models to support business intelligence and analytics requirements. Work with graph databases to model and query complex relationships within data.
Create and maintain interactive and insightful reports and dashboards using Tableau to support data-driven decision-making.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Strong programming skills in Python, with basic knowledge of Java
Proficiency in data modeling techniques and best practices.
Proficiency in understanding of graph databases and experience in modeling and querying graph data
Experience in creating reports and dashboards using Tableau
Hands-on experience with SPARK and managing large datasets.
Experience in implementing ETL transformations on big data platforms, particularly with NoSQL databases (MongoDB, DynamoDB, Cassandra)
Proficiency in understanding of Event-Driven Architecture (EDA) and Event Streaming, with exposure to Apache Kafka

Preferred qualifications, capabilities and skills

Strong analytical and problem-solving skills, with attention to detail
Ability to work independently and collaboratively in a team environment
Good communication skills, with the ability to convey technical concepts to non-technical stakeholders
A proactive approach to learning and adapting to new technologies and methodologies
Experience with Apache Airflow for data orchestration and workflow management
Familiarity with container orchestration platforms such as Kubernetes (EKS) and Amazon ECS. Experience with Terraform for infrastructure as code and cloud resource management
Familiarity with AWS enterprise implementations such as EMR/Glue, S3, EC2, Data Pipeline, Lambdas and IAM roles

\n\n

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

\n\n\n

Equal Opportunity Employer/Disability/Veterans

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Description

Pipl is the identity trust company. Our solutions allow organizations to provide frictionless customer experiences and approve more transactions with greater confidence and speed. We use multivariate linking to establish deep connections among more than 330 billion trust signals—email, mobile phone and social media data that spans the globe—and then look at the big picture to derive identity trust.

We're looking for a Software Engineer to play a key role in our Data Infrastructure team. If you have a passion for big-data and you enjoy tackling complex data challenges, this one's for you!

In your day-to-day, you'll define, shape, and evolve the architecture of large-scale data products. You'll be responsible for processing terabytes of data as well as building and maintaining production systems with sub-millisecond latency response time while targeting to reduce storage consumption as much as possible.

You will work with a strong team of big data developers. Additionally, you will be involved in researching, designing, and implementing robust systems that handle vast amounts of data, serving as the backbone of our search index. You'll also be part of a team that conducts POCs for new requirements and emerging technologies.

Requirements

5 years of experience as Backend engineer
Strong understanding of data warehousing, data lakes, and big data technologies
Experience with Java, Spring and specifically with streaming
Experience with Python
Experience with different DBs - MySQL and key/value DBs
Experience with Google Cloud Platform (GCP) services such as BigTable, BigQuery, Cloud Dataflow, Cloud queue, and Cloud Dataproc, Google composer (Airflow)

Working At Pipl

\nNone","hiringOrganization":{"@type":"Organization","name":"Pipl","sameAs":"https://pipl.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Petah Tikva, Petah Tikva, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}}]}

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