About The Position

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

Requirements

  • GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions.
  • Big Data – Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery.
  • Data Warehousing – Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift).
  • Artificial Intelligence & Expert Systems – Experience developing or integrating AI/ML models and rule-based expert systems.
  • API – Experience designing, building, and consuming RESTful or gRPC APIs.
  • 7+ years in IT
  • 5+ years in development
  • Bachelor's Degree

Nice To Haves

  • Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML.
  • Kotlin, Java, Python, or equivalent JVM/backend language
  • Spring Boot, gRPC, REST API design
  • BigQuery, PostgreSQL, Redis, Bigtable, Kafka or Pub/Sub
  • GCP (or equivalent), Docker, Kubernetes, CI/CD pipelines
  • TDD, MLOps-adjacent data pipeline patterns, database performance tuning, API versioning
  • Certification Program

Responsibilities

  • 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

Benefits

  • Medical, dental, vision
  • 401k
  • Term life
  • Voluntary life and disability insurance
  • Optional Pre-paid legal plan
  • Optional Identity theft plan
  • Optional Medical and dependent FSA
  • Work-visa sponsorship
  • Opportunity for advancement
  • Long-term assignment with opportunity for hire by client
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