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Technical Lead
Ford Motor Company. Design and develop scalable backend services using Java 17+, Spring Boot, and related frameworks .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable backend services using Java 17+ and Spring Boot, while also building responsive web applications with React or Angular. Proficient in implementing microservices, RESTful APIs, and AI-enabled solutions, with a strong focus on code quality and cloud deployment.
Highest-signal resume keywords
Java 17+Spring BootMicroservices DevelopmentGoogle Cloud Platform (GCP)Automated Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Java 17+Spring BootMicroservices DevelopmentRESTful API DevelopmentReactAngularAutomated TestingCI/CD PracticesRelational DatabasesCloud Platforms
Soft Skills
MentoringTechnical GuidanceCollaboration
Tools & Technologies
DockerKubernetesSonarQubeFOSSAApigeeJUnitMockitoCypressPlaywrightModel Context Protocol (MCP)
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Software Engineering
Industry Keywords
AgileClean Code PrinciplesSoftware CraftsmanshipAI SolutionsRetrieval-Augmented Generation (RAG)
Tech Stack
Tools & technologiesAngularAWSAzureCloudCypressDockerGoogle Cloud PlatformJavaJavaScriptJUnitKubernetesMicroservicesMockitoMongoDBNode.jsNoSQLOraclePostgresReactRedisSpringSpring BootSpringBoot
About the role
Key responsibilities & impact- Design and develop scalable backend services using Java 17+, Spring Boot, and related frameworks
- Build responsive and user-centric web applications using React or Angular
- Design, develop, and maintain RESTful APIs and microservices
- Lead AI-enabled solutions utilizing Large Language Models (LLMs)
- Implement Retrieval-Augmented Generation (RAG) solutions and integrate enterprise knowledge sources
- Support integrations using Model Context Protocol (MCP) and related orchestration approaches where applicable
- Apply clean code principles and software craftsmanship practices
- Maintain high code quality through peer reviews, automated testing, and continuous improvement
- Develop comprehensive unit, integration, and end-to-end test coverage
- Deploy and manage applications on Google Cloud Platform (GCP) or comparable cloud environments
- Support CI/CD pipelines and infrastructure automation
- Work with containerized environments using Docker and Kubernetes
- Implement secure API design and governance practices
- Utilize tools such as SonarQube, FOSSA, Apigee, 42Crunch, or equivalent platforms to maintain compliance and quality standards
- Participate actively in Agile ceremonies and team planning activities
- Mentor junior team members through code reviews, technical guidance, and pairing sessions
- Contribute to architectural discussions and technical decision-making
- Monitor application health and performance in production environments
- Troubleshoot issues and drive continuous reliability improvements
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, or a related field
- 8+ years of professional software development experience
- Strong expertise in Java 17+ and Spring Boot
- Experience building modern web applications using React or Angular
- Experience developing microservices and REST APIs
- Hands-on experience with cloud platforms such as GCP, Azure, or AWS
- Strong knowledge of relational databases such as PostgreSQL or Oracle
- Experience with automated testing frameworks such as JUnit, Mockito, Cypress, or Playwright
- Working knowledge of CI/CD practices and DevOps methodologies
- Preferred: Experience with Javascript, React, Angular, Node.js
- Preferred: Experience with Kubernetes and Docker
- Preferred: Familiarity with NoSQL databases such as MongoDB and Redis
- Preferred: Experience with vector databases such as Pinecone or Milvus
- Preferred: Experience implementing AI/GenAI solutions, including RAG architectures and LLM integrations
- Preferred: Familiarity with MCP-based integrations
- Preferred: Experience with API management, security, open-source compliance, and code-quality platforms such as Apigee, 42Crunch, FOSSA, and SonarQube