Consultant - Microsoft Azure + Software Engineering (Infrastructure)

Roles & responsibilities 

• As an Advisory Lead in this team, you will play a key role in strategizing, developing and delivering Cloud & Software  Engineering solutions for clients
• Ability to drive the discussion with clients for their Cloud & Software Engineering requirements and provide domain support 
• Ability to drive engagements in the Cloud, Engineering, Integrations & transformation for organizations
• Ability to identify the best suited Cloud & Engineering practice for the client environment 
• Continue to cultivate a culture of collaboration, innovation and bringing industry standards to everything we do.
• Maintain technical and business knowledge of industry directions and trends in the area of agile system development and public cloud
• Continuously learn, work independently, and make decisions with minimal supervision.
• Ensure cost-effective cloud resource allocation and utilization for effective cloud cost management and optimization across multiple cloud platforms

Educational qualifications 

• A bachelor’s or master’s degree or equivalent
• Relevant Azure Certifications (Azure Solutions Architect Expert (AZ-305), DevOps Engineer Expert (AZ-400)

Work experience

• Proven experience in designing and implementing cloud solutions as per architecture best practices across different cloud platforms (Primarily on Azure)
• Cloud Transformation, Cloud Migration & Modernization, Integrations, FinOps, Cloud Security Assessment

Mandatory technical & functional skills

• Experience in designing and implementing cloud solutions as per architecture best practices across different cloud platforms (Primarily on Azure) 
• Good understanding of Enterprise Networks, Security and Identity Access Management. 
• 5 - 8 years of programming experience along with architecture, and development experience.
• Distributed Caching (Redis), Queuing technologies (ActiveMQ, Kafka), Elastic Search.
• Working knowledge of RESTful / GraphQl APIs.
• Experience with Data Model, SQL, and No-SQL.
• Excellent knowledge of Microservices Architecture and implementation.
• Experience working on software-as-a-service (SaaS), large scale distributed systems and relational/No-SQL databases 
• Experience with any Azure as public cloud provider and it’s DevOps offerings 
• Design and manage DevOps solution across the lifecycle (Plan -> Execute -> Operate) 
• Strong working experience with DevOps, Agile, and Design/Implementation within CI/CD and Secure Software Engineering Best Practices. 
• Experience leading a team of software engineers.
• Strong verbal and written communication skills: proven ability to lead both vertically and horizontally to achieve results; thrives in a dynamic, fast-paced, environment and do what it takes to deliver results.

Preferred technical & functional skills 

• Familiarity with serverless technologies like Azure Functions, 
• Experience with serverless technologies like Azure Functions, Logic Apps, Container Apps etc. 
• Generative AI Concepts: Understanding of Generative AI principles, Large Language Models (LLMs), and their potential applications.
• Gen AI Frameworks: Familiarity with frameworks or APIs for building Gen AI applications (e.g., LangChain, LlamaIndex, OpenAI API, AWS Bedrock, Azure OpenAI).