Experience Required: WHAT YOU WILL BRING 2 or more years of professional experience in backend software engineering with a focus on cloud-native services on GCP or equivalent cloud platforms Proficiency in Python, C++, and Java for backend service development Experience designing and implementing REST and gRPC APIs, with strong grasp of API versioning, backward compatibility, and documentation practices Hands-on experience with GCP services including Cloud Run, GKE, Pub/Sub, Cloud Build, and Cloud Logging Experience with event-driven architecture patterns and message queue systems; Kafka familiarity is a strong plus given TOP's observability stack Solid understanding of CI/CD pipeline design and implementation in a GitHub-based development workflow Experience instrumenting services with OpenTelemetry or equivalent observability frameworks Demonstrated ability to write clean, testable, well-documented code in a collaborative team environment Experience Preferred: NICE TO HAVE Experience integrating with LLM inference APIs or AI engine backends Familiarity with automotive data formats or telematics data structures Google Cloud Professional Cloud Developer certification Familiarity with OpenAPI specification and API gateway patterns on GCP Education Required: Bachelor's Degree Education Preferred: Certification Program Additional Information: ***HYBRID / 4 days per week in the office*** Cloud Infrastructure: Must be able to configure Cloud Run services including environment variables, secrets from Secret Manager, service-to-service authentication, concurrency settings, and CPU and memory allocation. They should also understand how Cloud Run integrates with Pub/Sub for event-driven invocation and how to configure VPC (Virtual Private Cloud) connector settings for private network access.