Ford Motor Company

Software Development Manager

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: Chennai • India

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Job Level

SeniorLead

Tech Stack

AngularAWSAzureCloudGoogle Cloud PlatformGradleJavaMavenMicroservicesReactSpringSpring BootSpringBoot

About the role

  • Lead a team of technical engineers to -
  • Develop Microservices: Architect and implement scalable, high-performance Java-based microservices using Spring Boot and Spring Cloud. Create RESTful APIs that support both synchronous and asynchronous data processing workflows.
  • Backend Development: Develop robust server-side applications using Java 17+ and the Spring ecosystem (Spring Framework, Spring Data, Spring Security). Implement efficient data access layers using relational databases.
  • Frontend Development: Build and integrate responsive frontend components using Angular or React that communicate effectively with Java backend services. Implement efficient data binding and state management patterns.
  • Data Processing: Develop data processing pipelines using Java streams, Completable Future, and reactive programming models.
  • Cloud-Native Applications: Deploy and manage containerized applications on Google Cloud Platform (GCP) using Cloud Run & GKE. Implement service discovery, configuration management, and circuit breakers.
  • Security Implementation: Apply security best practices in Java applications, including MFA, ADFS, authentication, method-level security, and data encryption – all with least privileged modeling.
  • Performance Optimization: Profile and optimize Java application performance, including JVM tuning, connection pooling, caching strategies, and database query optimization.
  • API Gateway & Service Mesh: Implement API gateway patterns using Apigee Configure service-to-service communication with appropriate resilience patterns.
  • CI/CD for Java Applications: Set up and maintain CI/CD pipelines for Java applications using tools like Tekton, Maven/Gradle, and Github Actions for comprehensive testing.
  • Foundational Understanding of AI/ML Concepts**:** Possess a solid understanding of core AI and Machine Learning (ML) concepts. Familiarity with generative AI and large language models (LLMs).

Requirements

  • Master’s degree in computer science, Data Engineering, Information Systems, or equivalent work experience
  • 10+ years of experience in Software Engineering, managing complex application development adopting Modern software engineering practices
  • Proven ability to build and lead high-performing engineering teams
  • Experience working within public cloud ecosystems (AWS, GCP, or Azure)
  • Experience working with senior leadership teams and building business relationships.
Benefits
  • Health insurance
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Java 17+Spring BootSpring CloudRESTful APIsAngularReactData Processing PipelinesCI/CDMicroservicesPerformance Optimization
Soft Skills
LeadershipTeam ManagementCommunicationRelationship BuildingProblem SolvingCollaborationAdaptabilityStrategic ThinkingMentoringDecision Making
Certifications
Master’s degree in Computer ScienceMaster’s degree in Data EngineeringMaster’s degree in Information Systems