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Ford Motor Company

Technical Lead

Ford Motor Company

. Design and develop scalable backend services using Java 17+, Spring Boot, and related frameworks .

Posted 9/22/2026full-timeChennai • IndiaSeniorWebsite

Core Competencies

Role fit
Core 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

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Applicant Tracking System Keywords

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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 & technologies
AngularAWSAzureCloudCypressDockerGoogle 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