Senior Backend Engineer, Telematics & Fleet APIs

Ford Motor Company; Dearborn (MI); Hybrid; USD 115,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Flexible family care days

Adoption and surrogacy benefits

Vehicle discount program

Tuition assistance

Paid time off

Paid holidays

Job summary

Ford Pro Intelligence (FPI) Telematics is seeking a Senior Backend Engineer to design and build secure, high-throughput APIs and cloud services that ingest and transform billions of data points from connected vehicles into real-time fleet insights.

You will work in small, collaborative teams, practice TDD, and deploy to modern cloud environments (GCP). You’ll have opportunities to mentor peers and influence architecture and product strategy.

Qualifications

• Bachelor's degree in computer science, computer engineering or equivalent.
• 6+ years building production-grade backend applications.
• 6+ years Java or Kotlin experience.
• 6+ years in the Spring ecosystem.
• 6+ years with PostgreSQL or similar SQL databases.
• 6+ years deploying to cloud (GCP/AWS/Azure).
• 6+ years advocating Agile, TDD and collaborative development.

Responsibilities

• Architect, scale and deploy highly resilient backend microservices (Kotlin/Java, Spring Boot).
• Own the lifecycle from inception to production, including CI/CD and cloud deployment (GCP).
• Collaborate with product managers and UI/UX to design developer-friendly APIs (OAS).
• Drive operational excellence with RCA and proactive defect prevention.
• Mentor and lead through code reviews and architectural guidance.
• Lead cross-functional teams of engineers, designers, and product managers.

Skills

Java/Kotlin

Spring Boot

PostgreSQL

Cloud (GCP/AWS/Azure)

TDD

Agile methodologies

OpenAPI

Docker/Kubernetes

Education

Bachelor's degree in computer science or computer engineering

Job description

Ford Pro Intelligence (FPI) Telematics is seeking a Senior Backend Engineer to design and build secure, high-throughput APIs and cloud services that ingest and transform billions of data points from connected vehicles into real-time fleet insights.

You will work in small, collaborative teams, practice TDD, and deploy to modern cloud environments (GCP). You’ll have opportunities to mentor peers and influence architecture and product strategy.