Pune Maharashtra Back office assistant Jobs – 47 Open Jobs Today

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Lead Java Engineer - AI Native

EPAM Systems, Inc. -
Pune, Maharashtra

Apply Now

Job details

Benefits

Health insurance
Paid time off

Qualifications

Jira
Spring Boot
CI/CD
Azure
Law
MCP
Git
English
Java
Master's degree
Microservices
AWS
Confluence
Distributed systems
Continuous integration
REST
GitHub
APIs
ServiceNow
AI
Spring framework
SDLC
Design patterns

Full job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Lead Java Engineer – AI Native to design, build and own complex production systems while championing AI-native engineering practices across a team. In this role, you will combine deep Java expertise with hands-on AI agent and MCP development to deliver scalable, intelligent solutions end-to-end.

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
Implement end-to-end agentic SDLC pipelines: 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 (Jira, Confluence, GitHub, ServiceNow, observability stacks) via MCP connectors or REST/event-driven APIs
Use AI coding assistants (GitHub Copilot, Cursor, Claude Code or equivalent) and frontier LLMs (Claude, GPT-4o, Gemini) across the full development lifecycle every day, critically evaluating AI outputs for correctness, security and edge cases before committing
Bring 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, mentor Junior and Mid-level engineers in Java best practices and AI-native engineering methods
Maintain strong automated test coverage (unit, integration, contract, AI-generated) and healthy CI/CD pipeline practices
Track frontier developments — new model releases (Claude, GPT, Gemini, Llama), emerging agent frameworks, new MCP connectors — and bring relevant changes back to the team within weeks

Requirements

8–12 years of professional Java development with clear ownership of complex production systems
Deep expertise in Spring Boot, Spring Cloud and Spring Data, plus Spring Security and microservices design patterns
Strong architectural skills across distributed systems, event-driven architecture and domain-driven design (DDD), including CQRS/ES
Cloud-native engineering on AWS, GCP or Azure — IaC, serverless patterns, managed services and cloud-native observability
Proven experience leading technical teams through architecture governance, coding standards and mentoring and technical onboarding
Active daily use of AI coding assistants (GitHub Copilot, Cursor, Claude Code or equivalent) and frontier LLMs (Claude, GPT-4o, Gemini), fluent across the full SDLC and able to coach a team of 8–15 engineers in AI-native practices
Proven hands-on experience designing, building and deploying MCP server ecosystems at project or account scale — including security controls, versioning and observability
Demonstrated ability to architect and operate end-to-end agentic SDLC pipelines that integrate with real enterprise tools via MCP and APIs, built and run in production rather than only in a proof of concept
Experience evaluating and selecting AI agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Spring AI Agents or equivalent) for production use with documented rationale and trade-offs
Track record of improving a team's AI maturity with measurable change supported by adoption metrics or productivity evidence
Demonstrated learning agility at team scale, showing that your team's engineering practices changed meaningfully in the last 12 months because of evolving frontier models and tools and that you drove that change
English proficiency: Upper-Intermediate or above (B2+)

Nice to have

Experience with RAG pipelines, LLM fine-tuning or LLM evaluation frameworks (RAGAS, DeepEval or similar) applied to software engineering contexts
Hands-on experience with structured agentic SDLC methodologies — specification-driven AI development, specification hardening or equivalent governed delivery protocols
Experience with Managed Services or AIOps delivery models: autonomous monitoring, AI-assisted incident response or intelligent operations pipelines
Capability to design function calling and tool-use across multiple frontier models, building reliable governed tool-use chains
Contributions to internal AI maturity assessments, team certification programmes or AI engineering playbooks

We offer

Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

Apply Now

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back office assistant jobs in pune maharashtra

Lead Java Engineer - AI Native

AI Catalyst Lead

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