Backend Engineer
Employees in this job function are responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. They work at the intersection of distributed systems, data engineering, and API development — delivering reliable, low-latency services that power fleet intelligence products for commercial and enterprise customers. Design and develop scalable, high-performance backend services and APIs that process and expose telematics data — including GPS, trip events, driver behavior, vehicle diagnostics, and sensor telemetry — at fleet scale Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams from messaging systems (e.g., Pub/Sub, Kafka) into data warehouses and operational stores
Skills Required
GCP: Design, deploy, and manage workloads on GCP (Compute Engine, Cloud Storage, IAM, VPC networking, Cloud Composer, etc.), including provisioning infrastructure, configuring security/access controls, and troubleshooting performance or cost issues in production. Expert 3+ years 2 Big Data: Design and optimize data pipelines and storage architectures for large-scale, high-volume/high-velocity datasets using tools such as Spark, Hadoop, Kafka, or Dataflow; strong understanding of distributed computing, partitioning, and data lake/warehouse patterns. Expert 3+ years 3 Artificial Intelligence & Expert Systems: Build, train, and deploy machine learning models or rule-based expert systems to support decision automation (e.g., predictive maintenance, fraud detection, recommendation engines); familiarity with TensorFlow, PyTorch, or Vertex AI; ability to explain model outputs to non-technical stakeholders. Expert 1+ years 4 API: Design, build, secure, and document RESTful (or GraphQL) APIs, including authentication/authorization (OAuth2, API keys), versioning, rate limiting, and integration with internal and third-party systems. Expert 3+ years 5 BigQuery Write: optimized SQL queries in BigQuery; manage datasets/partitioning/clustering for performance and cost control; integrate BigQuery with BI tools (e.g., Looker, Data Studio) or downstream applications for reporting/analytics. Expert 2+ years
Skills Preferred
Google Cloud Platform: Broader GCP ecosystem knowledge beyond core required GCP skill — e.g., Pub/Sub, Cloud Functions, GKE (Kubernetes), Cloud Build/CI-CD pipelines, or cost-optimization/FinOps practices — that strengthens overall platform capability. Expert 3+ years
Experience Required
Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. 7+ years in IT; 5+ years in development
Experience Preferred
Languages: Kotlin, Java, Python, or equivalent JVM/backend language Frameworks: Spring Boot, gRPC, REST API design Data: BigQuery, PostgreSQL, Redis, Bigtable, Kafka or Pub/Sub Infrastructure: GCP (or equivalent), Docker, Kubernetes, CI/CD pipelines Practices: TDD, MLOps-adjacent data pipeline patterns, database performance tuning, API versioning
Education Required
Bachelor's Degree
Education Preferred
Certification Program
Additional Information
*Hybrid (4 days per week in the office) * *ORDER IS BILLING TO A PD DEPARTMENT THAT REQUIRES THE FORD PEOPLE LEADER TO OBTAIN A SECOND APRPOVAL TO EXTEND AN OFFER * *Please direct all questions or concerns regarding this order to Susan Davis and Kathleen Sheedlo via email. * V2Soft is an Equal Opportunity Employer (EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
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