Senior Backend Software Engineer

Overview / Summary

We are seeking a Senior Backend Software Engineer to design, build, and operate high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets.

This role works at the intersection of distributed systems, data engineering, and API development, delivering reliable, low-latency services that support fleet intelligence products for commercial and enterprise customers.

Key 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 such as Pub/Sub and Kafka into data warehouses and operational data stores.
• Design, deploy, and manage workloads on Google Cloud Platform (GCP), including Compute Engine, Cloud Storage, IAM, VPC networking, and Cloud Composer.
• Configure security and access controls and troubleshoot production performance and cost issues within GCP environments.
• Design and optimize data pipelines and storage architectures for large-scale, high-volume and high-velocity datasets.
• Work with distributed computing, partitioning, and data lake/data warehouse patterns using technologies such as Spark, Hadoop, Kafka, or Dataflow.
• Build, train, and deploy machine learning models or rule-based expert systems to support decision automation.
• Design, build, secure, and document RESTful or GraphQL APIs, including authentication/authorization, versioning, rate limiting, and integrations with internal and third-party systems.
• Write optimized SQL queries in BigQuery and manage datasets, partitioning, and clustering for performance and cost control.
• Integrate BigQuery with BI tools or downstream applications for reporting and analytics.

Required Qualifications

• Bachelor's degree.
• 7+ years of IT experience and 5+ years of software development experience.
• Advanced practical experience in at least one programming language or practical experience in two coding languages.
• 3+ years of expert-level GCP experience, including designing, deploying, and managing cloud workloads.
• 3+ years of expert-level Big Data experience involving large-scale, high-volume/high-velocity datasets.
• 3+ years of expert-level API development experience, including RESTful or GraphQL APIs.
• 2+ years of expert-level BigQuery experience, including SQL optimization, dataset management, partitioning, and clustering.
• 1+ year of experience building, training, and deploying machine learning models or rule-based expert systems.
• Experience with Kotlin, Java, Python, or an equivalent JVM/backend language.
• Experience with backend frameworks and technologies such as Spring Boot, gRPC, and REST API design.
• Experience with data technologies such as BigQuery, PostgreSQL, Redis, Bigtable, Kafka, or Pub/Sub.
• Experience with GCP or an equivalent cloud platform, Docker, Kubernetes, and CI/CD pipelines.

Preferred Qualifications

• Broader Google Cloud Platform ecosystem knowledge, including technologies such as Pub/Sub, Cloud Functions, GKE/Kubernetes, Cloud Build/CI/CD pipelines, or cost-optimization/FinOps practices.
• Experience with TensorFlow, PyTorch, or Vertex AI.
• Experience with TDD, MLOps-adjacent data pipeline patterns, database performance tuning, and API versioning.
• Certification program experience.

#LI-Hybrid  #LI-AA1