Java Microservices Engineer – Cloud & AI-Powered Data Solutions

Synechron.com

Office

BCIT, India

Full Time

Job Summary

Synechron is seeking a skilled Senior Engineer - Solutions to design, develop, and deliver Service Domains within our Enterprise Banking Backbone (EBB) – Core Acquiring Platform. This role is central to building scalable, secure, and innovative microservices and distributed architectures that support our payment processing ecosystem. The successful candidate will contribute to the modernization of banking solutions by leveraging AI-powered engineering and cutting-edge technologies, ensuring robust service delivery aligned with business objectives.

Software Requirements

Required Skills:

Proficiency in Java with strong hands-on experience in building and maintaining microservices and distributed systems
Experience creating and consuming REST APIs with OpenAPI specifications
SDK development and integration experience
Expertise in Kafka Streams for data processing in distributed architectures
Data management skills with both relational and NoSQL databases
Knowledge and practical experience in AI-powered engineering approaches
Ability to utilize API Gateway (beneficial but not mandatory)
Experience working with Cloud platforms (preferably AWS services like EC2, ECS, Lambda, S3, Secrets Manager, KMS, IAM)
Configuration management using Infrastructure as Code (e.g., CloudFormation, Terraform)
Version control experience with Git
Familiarity with SAST/DAST tools and CI/CD pipelines for automated deployment and security testing
Experience with C# and Python
Familiarity with container orchestration tools such as ECS or Kubernetes
Proficiency in Java with strong hands-on experience in building and maintaining microservices and distributed systems
Experience creating and consuming REST APIs with OpenAPI specifications
SDK development and integration experience
Expertise in Kafka Streams for data processing in distributed architectures
Data management skills with both relational and NoSQL databases
Knowledge and practical experience in AI-powered engineering approaches
Ability to utilize API Gateway (beneficial but not mandatory)
Configuration management using Infrastructure as Code (e.g., CloudFormation, Terraform)
Version control experience with Git
Familiarity with SAST/DAST tools and CI/CD pipelines for automated deployment and security testing
Experience with C# and Python
Familiarity with container orchestration tools such as ECS or Kubernetes

Preferred Skills:

Overall Responsibilities

Design, develop, test, and maintain scalable Service Domains within the Core Acquiring Platform, ensuring high performance and security standards
Collaborate with cross-functional teams to translate business requirements into technical solutions
Create comprehensive API specifications and SDKs for seamless integration and interoperability
Implement distributed architecture patterns and leverage microservices for system scalability and resilience
Incorporate AI-powered engineering techniques to optimize system performance and functionality
Manage cloud infrastructure configurations and deployment pipelines, ensuring automation and consistency
Conduct performance tuning, security assessments, and troubleshooting to maintain system integrity
Document design decisions, technical standards, and operational procedures to facilitate team knowledge sharing
Stay current with emerging technologies and industry best practices to promote innovative solutions
Technical Skills (By Category)
Create comprehensive API specifications and SDKs for seamless integration and interoperability
Implement distributed architecture patterns and leverage microservices for system scalability and resilience
Incorporate AI-powered engineering techniques to optimize system performance and functionality
Manage cloud infrastructure configurations and deployment pipelines, ensuring automation and consistency
Conduct performance tuning, security assessments, and troubleshooting to maintain system integrity
Document design decisions, technical standards, and operational procedures to facilitate team knowledge sharing
Stay current with emerging technologies and industry best practices to promote innovative solutions
Technical Skills (By Category)

Programming Languages:

Required: Java (expertise in building enterprise-grade microservices)
Required: Java (expertise in building enterprise-grade microservices)
Preferred: Python, C#
Relational databases (e.g., PostgreSQL, MySQL)
NoSQL databases (e.g., MongoDB, Cassandra)
Preferred: AWS services including EC2, ECS, Lambda, S3, Secrets Manager, KMS, IAM, CloudFormation
Knowledge of CloudFormation or similar Infrastructure as Code tools
Microservices frameworks (e.g., Spring Boot, Quarkus)
Kafka Streams for real-time data processing

Preferred: Python, C#

Relational databases (e.g., PostgreSQL, MySQL)
NoSQL databases (e.g., MongoDB, Cassandra)
Preferred: AWS services including EC2, ECS, Lambda, S3, Secrets Manager, KMS, IAM, CloudFormation
Knowledge of CloudFormation or similar Infrastructure as Code tools
Microservices frameworks (e.g., Spring Boot, Quarkus)
Kafka Streams for real-time data processing

Databases/Data Management:

Cloud Technologies:

Frameworks And Libraries:

Sdk Development Tools

Development Tools And Methodologies:

Version Control (Git)
CI/CD pipelines (Jenkins, GitLab CI/CD, etc.)
SAST/DAST security testing tools
Application and system security best practices, data encryption, API security, and identity/access management
Minimum of 5+ years of professional experience in software engineering, particularly with Java-based microservices architecture
Proven experience building service domains in large, distributed systems, particularly in financial or banking environments
Hands-on experience with Kafka Streams and real-time data processing solutions
Demonstrated capability in designing and implementing REST APIs with OpenAPI specifications
Experience managing cloud infrastructure with AWS or similar cloud providers
Agile Development Practices
CI/CD pipelines (Jenkins, GitLab CI/CD, etc.)
SAST/DAST security testing tools
Application and system security best practices, data encryption, API security, and identity/access management
Minimum of 5+ years of professional experience in software engineering, particularly with Java-based microservices architecture
Proven experience building service domains in large, distributed systems, particularly in financial or banking environments
Hands-on experience with Kafka Streams and real-time data processing solutions
Demonstrated capability in designing and implementing REST APIs with OpenAPI specifications
Experience managing cloud infrastructure with AWS or similar cloud providers

Security Protocols:

Experience Requirements

Familiarity with AI integrations in system architecture is a plus

Preferred:

Prior involvement in Core Banking, Payment Processing, or similar financial technology sectors
Experience working with AI-powered tools and frameworks

Day-To-Day Activities

Develop and deploy new service domains and microservices with clear API interfaces and SDKs
Collaborate in agile teams during planning, refinement, and sprint execution meetings
Write and maintain API specifications and documentation for internal and external consumption
Design distributed systems architecture, ensuring robustness, security, and scalability
Automate deployment processes using Infrastructure as Code and CI/CD pipelines
Monitor system performance and troubleshoot operational issues proactively
Incorporate emerging AI and machine learning techniques to enhance system efficiency
Conduct code reviews, security assessments, and performance tests
Participate in technical discussions to influence architecture, technology choices, and best practices

Qualifications

Bachelor's degree in Computer Science, Software Engineering, or a related field; higher degrees or equivalent experience preferred
Relevant certifications such as AWS Certified Solutions Architect or similar are advantageous
Continuous learning through technical workshops, courses, or professional development initiatives

Professional Competencies

Strong analytical and problem-solving skills with attention to detail
Ability to design scalable, secure, and reliable solutions in complex environments
Effective stakeholder management and communication skills
Ability to collaborate with diverse teams and translate technical concepts to non-technical audiences
Self-motivated, proactive, and able to work independently or in team settings
Willingness to adapt to evolving technologies and project requirements
Demonstrate innovation, creativity, and a continuous improvement mindset
Manage tasks efficiently to meet deadlines without compromising quality

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.

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