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Ford Motor Company

Software Engineer – Data Platform

Ford Motor Company

Senior Software Engineer designing high-performance data processing pipelines on Google Cloud for Ford's Supply Chain Transformation. Utilizing full-stack development with Java and Angular.

Posted 7/7/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in developing and integrating IT solutions using Agile methodology, with a strong focus on data pipeline development, backend API design, and GCP infrastructure management. Proficient in leading data migration activities and providing technical leadership to ensure high-performance and secure application delivery.

Highest-signal resume keywords
GCP DataflowJava & Spring BootAngularData Pipeline DevelopmentTerraform Scripting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentBackend API DevelopmentRelational Database ManagementSQL Query OptimizationIntegration PlanningAgile MethodologyMicroservices ArchitectureRESTful API DesignProduction Build VerificationData Migration
Soft Skills
Technical LeadershipMentoringCollaboration
Tools & Technologies
GCP ServicesApache BeamSpring Boot FrameworkGit Version ControlCI/CD PipelinesMavenGradleNpmGoogle Cloud BuildPub/Sub
Industry Keywords
Integration DeliverablesWebservicesETLReal-Time StreamingVector Store IngestionDeclarative Pipeline Specification

Tech Stack

Tools & technologies
AngularApacheBigQueryCloudGoogle Cloud PlatformGradleJavaMavenMicroservicesMySQLPostgresSpringSpring BootSpringBootSQLTerraformTypeScript

About the role

Key responsibilities & impact
  • Development and integration of IT solutions using agile methodology considering architecture patterns, critical performance characteristics, security measures and customer requirements.
  • Integration planning and integration deliverables (Webservices, API, ETLs, etc.)
  • Prepare and stage production builds and verify production releases that meet technical and business expectations
  • Lead data migration/conversion activities
  • Data Pipeline Development: Design, develop, and optimize scalable batch and stream data processing pipelines (Dataflows) using Apache Beam and Google Cloud Dataflow.
  • GCP Infrastructure: Architect, configure, and maintain cloud solutions utilizing core GCP services (including Pub/Sub, Big Query, Cloud Storage, and Cloud IAM).
  • Backend API Development: Design, build, and maintain secure, high-performance RESTful APIs and microservices using Java and the Spring Boot framework.
  • Frontend Screen Development: Create responsive, user-friendly frontend screens and dashboards using Angular (TypeScript, HTML5, CSS) to visualize data and provide administrative interfaces.
  • Full-Stack Integration: Seamlessly integrate frontend Angular components with backend Spring Boot REST APIs to ensure secure and efficient end-to-end functionality.
  • Database Management: Design schemas, write optimized SQL queries, and manage relational database systems (e.g., PostgreSQL, MySQL, Cloud SQL).
  • Collaboration & DevOps: Participate in Agile/Scrum ceremonies, perform code reviews, and configure CI/CD pipelines to support automated testing and deployment.
  • Builds pipelines delivering fresh, accurate, and correctly formatted data to AI agents and models.
  • Manages vector store ingestion pipelines — the knowledge bases grounding agent decisions in real data
  • Architects real-time streaming pipelines for agents requiring live information.
  • Providing technical leadership and mentoring to other developers.

Requirements

What you’ll need
  • Bachelor's degree in Information Systems, Computer Science/Engineering, or related field and a minimum of 5 to 8 years of software development experience.
  • Experience in large, complex application development including integration within multiple applications.
  • Experience in Terraform scripting for IaC.
  • GCP Dataflow: Strong, hands-on experience building production-grade data pipelines using GCP Dataflow and Apache Beam.
  • GCP Cloud Services: Proficiency in leveraging core GCP services, including Pub/Sub, Big Query, Cloud Storage, and Cloud IAM.
  • Java & Spring Boot: Solid experience in backend development using Java (Java 17 or higher) and the Spring Boot ecosystem (Spring Boot, Spring Security, Spring Data).
  • API Design: Proven track record of designing, developing, and documenting clean, secure, and performant RESTful APIs.
  • Angular: Hands-on experience building user interfaces and integrating frontend screens with backend APIs using Angular (TypeScript).
  • Relational Databases: Strong expertise in relational databases (SQL), database design, and query optimization.
  • Tools & DevOps: Experience with Git version control, build tools (Maven/Gradle, npm), and CI/CD pipelines (e.g., GitHub Actions, Tekton, or Google Cloud Build).
  • Vector store ingestion & embedding pipelines
  • Real-time streaming for agent grounding
  • Declarative pipeline specification

Benefits

Comp & perks
  • Health insurance
  • Retirement plans