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Senior Java Engineer - AI Native
EPAM Systems, Inc.
Pune, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
JavaSpring MVCSpring BootSpring SecurityKafkaRabbitMQ
Free
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JavaSpring MVCSpring Boot
Key Skills for This Role
JavaSpring MVCSpring BootSpring SecurityKafkaRabbitMQ
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Responsibilities
- Design, develop and maintain scalable Java applications using Spring Boot and microservices architecture, owning features end-to-end with a high degree of autonomy
- Build and deploy Model Context Protocol (MCP) servers that expose Java services, databases or internal tools to LLM-based agents, enabling agents to act on live enterprise data and systems
- Develop end-to-end agentic SDLC pipelines including automated specification drafting, AI-driven code generation, intelligent test creation, CI/CD integration and deployment validation orchestrated by AI agents
- Integrate agentic pipelines with enterprise tools and platforms such as Jira, Confluence, GitHub, ServiceNow and observability stacks via MCP connectors or REST/event-driven APIs
- Leverage AI coding assistants and frontier LLMs across the full development lifecycle, critically evaluating AI outputs for correctness, security and edge cases before committing
- Apply an AI-first mindset to automate repetitive engineering tasks, measure outcomes rather than activity and identify AI-leverage opportunities within your delivery area
- Contribute to the team's shared library of prompt templates, reusable agent patterns and MCP connectors
- Conduct code and architecture reviews while mentoring Junior and Mid-level engineers in Java best practices and AI-native engineering methods
- Maintain strong automated test coverage across unit, integration, contract and AI-generated tests alongside healthy CI/CD pipeline practices
- Track frontier developments such as new model releases, emerging agent frameworks and new MCP connectors and bring relevant changes back to the team within weeks
Requirements
- 5–10 years of hands-on Java development in production environments
- Proficiency in Spring Boot, Spring MVC and Spring Security with RESTful API design
- Experience with microservices and event-driven patterns such as Kafka or RabbitMQ
- Cloud platform expertise in AWS, GCP or Azure including containerization with Docker and Kubernetes
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