As a Full Stack Software Engineer specializing in Java, you will play a key role in the design, development, testing, and deployment of enterprise-grade applications. You will work closely with product managers, UX designers, and fellow engineers to translate business requirements into robust technical solutions. This role requires strong expertise in Java-based back-end frameworks (such as Spring Boot) as well as modern front-end technologies (such as React).

Beyond traditional full-stack development, you will help drive the integration of Agentic AI into the SDLC — building or leveraging AI agents that assist with code generation, testing, code review, documentation, and CI/CD automation. You will work with emerging frameworks such as MCP (Model Context Protocol) servers and Google's Agent Development Kit (ADK) (or equivalent agent orchestration frameworks) to connect LLM-based agents to internal tools, APIs, and data sources securely. This is an excellent opportunity for someone who enjoys working across the full technology stack, has an appetite for AI-augmented engineering practices, and wants to make a tangible impact on both product development and internal developer productivity.

Responsibilities

- Design, develop, and maintain full-stack web applications using Java (Spring Boot/Spring MVC) and modern JavaScript frameworks (React/Angular)
- Design, build, and maintain Micro Frontend (MFE) architecture — including module federation, independent deployment pipelines, and shared component/design systems across multiple teams
- Integrate and orchestrate multiple micro frontends into a cohesive shell/host application, ensuring consistent UX, routing, and state management across modules
- Build and consume RESTful APIs and microservices
- Write clean,



efficient, well-tested, and maintainable code
- Collaborate with cross-functional teams (Product, UX, QA, DevOps) in an Agile/Scrum environment
- Participate in architecture discussions and contribute to technical design decisions, including frontend decomposition strategy (MFE boundaries, ownership models)
- Perform code reviews and mentor junior engineers
- Troubleshoot, debug, and optimize application performance (including cross-MFE performance and bundle size optimization)
- Implement and maintain CI/CD pipelines for automated build, test, and independent deployment of micro frontends
- Ensure application security, scalability, and reliability
- Work with relational databases for data modeling and query optimization
- Deploy and manage applications in GCP cloud environments
- Design and implement Agentic AI workflows within the SDLC — e.g., AI agents for automated code review, test generation, ticket triage, and documentation
- Build, configure, and maintain MCP (Model Context Protocol) servers to expose internal APIs, databases, and tools securely to LLM/agent-based systems
- Develop and orchestrate AI agents using ADK (Agent Development Kit) or comparable agent frameworks (e.g., LangGraph, AutoGen, Semantic Kernel) for multi-step, tool-using workflows
- Integrate agentic AI capabilities into existing CI/CD pipelines to accelerate development, testing,



and release cycles
- Evaluate, prototype, and pilot emerging agentic AI tools/frameworks and recommend adoption where they improve engineering velocity or code quality
- Ensure governance, security, and observability practices are applied to AI agent integrations (e.g., permissions, auditability, guardrails)
- Stay current with emerging technologies and recommend improvements

Qualifications

- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- 2+ years of qualified experience in full stack software development
- Strong proficiency in Java and frameworks such as Spring Boot / Spring MVC / Hibernate
- Solid experience with front-end technologies: JavaScript/TypeScript, and a modern framework (React)
- Experience building and consuming RESTful APIs / microservices
- Proficiency with relational databases (PostgreSQL)
- Experience with version control (Git) and CI/CD tools ( GitHub Actions)
- Familiarity with Micro Frontend (MFE) concepts (e.g., Webpack Module Federation, Single-SPA, Nx monorepo, or native federation) and modular UI design
- Strong problem-solving skills and ability to work both independently and in a team
- Hands-on exposure to LLM-based tools or agentic AI concepts (e.g., using AI coding assistants, prompt engineering, or building simple agent workflows)

Good to Have:
- Experience with GCPcloud platforms
- Knowledge of containerization tools
- Exposure to automated testing frameworks
- Understanding of security best practices (OAuth2, JWT)
- Prior experience in automotive, manufacturing, or enterprise-scale systems
- Relevant certifications (Java, GCP certifications)

📌 Software Engineer (Chennai)
🏢 Ford Motor
📍 Chennai