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Ford Motor Company

Software Engineer

Ford Motor Company

. Design, develop, and maintain full-stack web applications using Java, Spring Boot/Spring MVC, and modern JavaScript frameworks .

Posted 9/24/2026full-timeChennai • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack web application development using Java, Spring Boot, and modern JavaScript frameworks, with a strong focus on Micro Frontend architecture and CI/CD pipeline implementation. Proficient in integrating AI capabilities and ensuring application security and performance in cloud environments.

Highest-signal resume keywords
Full-Stack Software DevelopmentJava ProficiencyMicro Frontend ArchitectureRESTful API DevelopmentCI/CD Pipeline Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaSpring BootSpring MVCJavaScriptTypeScriptReactRESTful APIsMicroservicesRelational DatabasesPostgreSQL
Soft Skills
Problem-SolvingTeam CollaborationMentoring
Tools & Technologies
GitGitHub ActionsGCPWebpack Module FederationSingle-SPANx Monorepo
Certifications & Qualifications
Java CertificationGCP Certification
Industry Keywords
AutomotiveManufacturingEnterprise-Scale SystemsAgentic AIOAuth2JWT

Tech Stack

Tools & technologies
CloudGoogle Cloud PlatformHibernateJavaJavaScriptMicroservicesPostgresReactSDLCSpringSpring BootSpringBootTypeScriptWebpack

About the role

Key responsibilities & impact
  • Design, develop, and maintain full-stack web applications using Java, Spring Boot/Spring MVC, and modern JavaScript frameworks
  • Design, build, and maintain Micro Frontend architecture, including module federation, independent deployment pipelines, and shared component/design systems
  • Integrate and orchestrate micro frontends into cohesive shell/host applications with consistent UX, routing, and state management
  • Build and consume RESTful APIs and microservices
  • Write clean, efficient, well-tested, and maintainable code
  • Collaborate with Product, UX, QA, and DevOps teams in an Agile/Scrum environment
  • Participate in architecture discussions and technical design decisions
  • Perform code reviews and mentor junior engineers
  • Troubleshoot, debug, and optimize application performance and bundle sizes
  • Implement and maintain CI/CD pipelines for automated build, testing, and independent micro frontend deployment
  • 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 for code review, test generation, ticket triage, and documentation
  • Build, configure, and maintain MCP servers exposing internal APIs, databases, and tools securely to LLM-based systems
  • Develop and orchestrate AI agents using ADK or comparable frameworks such as LangGraph, AutoGen, or Semantic Kernel
  • Integrate agentic AI capabilities into CI/CD pipelines
  • Evaluate and pilot emerging agentic AI tools and frameworks
  • Apply governance, security, observability, permissions, auditability, and guardrails to AI integrations
  • Stay current with emerging technologies and recommend improvements

Requirements

What you’ll need
  • 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 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, including Webpack Module Federation, Single-SPA, Nx monorepo, or native federation, and modular UI design
  • Hands-on exposure to LLM-based tools or agentic AI concepts, such as AI coding assistants, prompt engineering, or simple agent workflows
  • Strong problem-solving skills and ability to work independently and in a team
  • Good to have: GCP cloud platform experience
  • Good to have: Knowledge of containerization tools
  • Good to have: Exposure to automated testing frameworks
  • Good to have: Understanding of OAuth2 and JWT security best practices
  • Good to have: Prior experience in automotive, manufacturing, or enterprise-scale systems
  • Good to have: Relevant Java or GCP certifications

Benefits

Comp & perks
  • Full-time employment
  • Hybrid work arrangement