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
- 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)
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 2+ years of professional full-stack software development experience
- Strong proficiency in Java and Spring Boot, Spring MVC, or Hibernate
- Experience with JavaScript or TypeScript and a modern frontend framework such as React
- Experience building and consuming RESTful APIs and microservices
- Proficiency with relational databases, especially PostgreSQL
- Experience with Git and CI/CD tools such as GitHub Actions
- Familiarity with Micro Frontend concepts and modular UI design
- Strong problem-solving skills and ability to work independently and collaboratively
- Hands-on exposure to LLM-based tools or agentic AI concepts
- Experience with GCP cloud platforms
- Knowledge of containerization tools
- Exposure to automated testing frameworks
- Understanding of security best practices, including OAuth2 and JWT
- Experience in automotive, manufacturing, or enterprise-scale systems
- Relevant Java or GCP certifications
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Healthcare Strength — Medical, dental, and vision coverage start on day one with options that include zero-premium plans, free mental health support, and wellness resources. For represented hourly employees, health plans are described as low-cost with strong coverage value.
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Retirement Support — A 401(k) with company match and additional company contributions is available from day one, alongside life and disability coverage. Pension eligibility in certain situations and financial-planning support reinforce long‑term security.
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Parental & Family Support — Paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp‑up program for returning parents, reflect a family‑focused package. Flexible Family Care days and generous time‑off options help address short‑term caregiving and personal needs.
Ford Motor Company Insights
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
