Introduction
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.
Required Skills & Qualifications
Preferred Skills & Qualifications
For immediate consideration please click APPLY to begin the screening process with Alex.
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.
Required Skills & Qualifications
- Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions.
- Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery.
- Experience developing or integrating AI/ML models and rule-based expert systems.
- Experience designing, building, and consuming RESTful or gRPC APIs.
- Prior work experience at client or in client's Industry.
Preferred Skills & Qualifications
- Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML.
- Experience with Kotlin, Java, Python, or equivalent JVM/backend language.
- Experience with frameworks like Spring Boot, gRPC, REST API design.
- Design and develop scalable, high-performance backend services and APIs that process and expose telematics data at fleet scale.
- Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams from messaging systems into data warehouses and operational stores.
- Architect and optimize data access layers across heterogeneous storage systems.
- Collaborate with data engineers and analysts to design stored procedures, views, and query patterns in analytical databases.
- Implement data aggregation, transformation, and enrichment logic to produce accurate, consistent reporting outputs.
For immediate consideration please click APPLY to begin the screening process with Alex.