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Software Engineer
Ford Motor Company. Design, develop, and maintain full-stack web applications using Java, Spring Boot/Spring MVC, and modern JavaScript frameworks .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesCloudGoogle 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