Pimpri Chinchwad, Maharashtra Senior software engineer (java – full stack) Jobs – 141 Open Jobs Today

Senior Java Engineer - AI Native
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- Java
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- Email
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Technical & Solution Architect
Equifax —Pune, Maharashtra
- Full-time
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- Master's degree
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FDE - AI -Noida
Zensar Technologies —Pune, Maharashtra
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Technical Architect - Web Application
Ceinsys Tech —Pune, Maharashtra
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EDMO —Pune, Maharashtra
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Sr. Automation Test Engineer
e-Zest Solutions —Pune, Maharashtra
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Northern Trust Corp. —Pune, Maharashtra
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Senior 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
Kubernetes
Relational databases
Enterprise Software
NoSQL
Git
English
MongoDB
Java
Master's degree
Databases
Microservices
AWS
Docker
Confluence
PostgreSQL
Continuous integration
Redis
RabbitMQ
REST
GitHub
APIs
ServiceNow
Kafka
AI
Jenkins
GitLab
Spring framework
MySQL
Spring MVC
SDLC

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 Senior Java Engineer – AI Native to design and build scalable Java applications while pioneering AI-driven engineering practices. In this role, you will own features end-to-end, build Model Context Protocol servers, and integrate agentic pipelines with enterprise systems, using frontier LLMs and AI coding assistants every day to deliver high-quality software.

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
Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis)
Skills in CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) and DevOps engineering practices
Active daily use of AI coding assistants (GitHub Copilot, Cursor, Claude Code) and frontier LLMs in a fluent, not experimental, capacity
Hands-on experience building and deploying at least one MCP server exposing APIs, tools or data sources to an LLM agent
Demonstrated experience designing or implementing an agentic workflow or pipeline that connects multiple tools or services via LLM-orchestrated agents
Capability to integrate agentic pipelines with enterprise systems via MCP or REST/event APIs
Familiarity with at least one agent orchestration framework such as LangChain, LangGraph, CrewAI, AutoGen or Spring AI Agents
Strong critical evaluation of AI-generated code to identify correctness issues, security gaps and performance problems
Genuine learning agility to describe how your engineering practice changed meaningfully in the last 6–12 months due to new AI tools or model capabilities
English proficiency at Upper-Intermediate or above (B2+)

Nice to have

Experience building RAG pipelines including chunking, embedding and vector stores (pgvector, Pinecone, Weaviate)
Prompt engineering skills for development contexts including systematic prompt design, evaluation harnesses and iteration workflows
Familiarity with LLM evaluation frameworks (RAGAS, DeepEval) to assess agent output quality
Experience with function calling and tool-use APIs across multiple frontier models (Anthropic, OpenAI, Google)
Exposure to structured agentic SDLC methodologies such as spec-driven development with AI or specification hardening

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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senior software engineer (java – full stack) jobs in pimpri chinchwad, maharashtra

Senior Java Engineer - AI Native

Senior Software Engineer - Java Full Stack ReactJS

Sr. Principal Software Engineer

Sr. Node Developer

Sr. Kafka Engineer

Technical Architect - Web Application

Technical & Solution Architect

FDE - AI -Noida

Technical Architect - Web Application

Information Technology Quality Senior Analyst - Assistant Vice President

Sr. React Developer

Sr. AI Lead

Sr. Automation Test Engineer

Manager, SW Quality Engineering

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