Full Stack Software Engineer (Java)

Ford Motor; Chennai; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Ford Motor is seeking a Software Engineer in Chennai to design, develop, and maintain full-stack applications using Java (Spring Boot) and React. You will contribute to AI-augmented engineering by integrating Agentic AI workflows into the SDLC and building MCP servers to expose internal APIs securely.

You will collaborate with cross-functional teams in an Agile environment, ensure scalable architectures, and implement robust CI/CD for micro frontends across multiple teams.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2+ years of professional 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.

Responsibilities

• Design, develop, and maintain full-stack web applications using Java (Spring Boot/Spring MVC) and modern JS frameworks (React/Angular).
• Design, build, and maintain Micro Frontend (MFE) architecture — including module federation and independent deployment pipelines.
• Integrate and orchestrate multiple MFEs into a cohesive shell with consistent UX, routing, and state management.
• Build and consume RESTful APIs and microservices.
• Write clean, well-tested, maintainable code; perform code reviews.
• Collaborate with Product, UX, QA, DevOps in an Agile/Scrum environment.
• Participate in architecture discussions and contribute to technical design decisions for frontend decomposition.
• Implement and maintain CI/CD pipelines for automated build, test, and deployment of MFEs.

Skills

Java

React

TypeScript

REST APIs

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Spring Boot

Spring MVC

Hibernate

GitHub Actions

PostgreSQL

Webpack Module Federation

Job description

Software Engineer

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 professional 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)