Role Overview

We are seeking a skilled Java Lead with strong expertise in Spring & Spring Boot microservices, Edge Services, and hands-on experience using AI tools (Claude, GPT, etc.) for code generation, test automation, and developer productivity. The candidate should drive adoption of AI-assisted development practices within engineering teams.

Key Responsibilities

Lead development of Java microservices using Spring & Spring Boot
Architect and build low-latency edge services and distributed systems
Integrate AI tools (Claude, GPT) into development workflows for:
Code generation
Automated test case generation
Code review assistance and optimization
Design and develop AI-powered backend services
Build and maintain REST/gRPC APIs
Drive engineering productivity using AI-assisted development practices
Mentor team members on AI tools adoption in SDLC
Ensure high-quality, scalable, and secure systems
Collaborate with DevOps for CI/CD pipelines and automation

Mandatory Skills

Strong experience in Java (8/11/17+)
Expertise in:
Spring Framework (Core, MVC, Security)
Spring Boot (Microservices architecture)
Proven experience building scalable microservices
Hands-on experience with AI tools like Claude, GPT (OpenAI), or similar LLMs
Practical use of AI for:
Code generation
Unit/integration test case generation
Debugging and code optimization
Strong understanding of distributed systems
Experience with cloud platforms (AWS/Azure/GCP)
Experience with Docker, Kubernetes

AI / LLM Requirements (Must-Have)

Hands-on experience with tools like:
Claude (Anthropic)
GPT (OpenAI) or equivalent LLMs
Experience applying AI in:
Code generation (backend services, APIs)
Automated unit & integration test creation
Refactoring and performance optimization
Understanding of:
Prompt engineering
Context management for LLMs
Secure usage of AI in enterprise environments
Experience integrating AI within developer workflows (IDE plugins, pipelines)

Good to Have

Spring Cloud ecosystem
Messaging systems (Kafka, RabbitMQ)
Reactive programming (Spring WebFlux)
Experience with AI copilots or dev tools integration
Serverless edge architectures

Soft Skills

Strong technical leadership and mentoring skills
Ability to drive AI adoption across teams
Excellent problem-solving and communication skills

Product Integration Analyst