Backend Developer
Role details
Job location
Tech stack
Requirements
We are seeking candidates who will develop and maintain the back end/ server-side parts of an application, typically consisting of APIs, databases and other services containing business logic. They work with various languages and tools to create and maintain services on-prem or in the cloud.
ResponsibilitiesSolve complex problems by designing, developing, and delivering using various tools, languages, frameworks, and technologies Align with architecture guidelines for unified and coherent approach to development Design, develop, and deliver new code using various tools, languages, frameworks, and technologies Develop and maintain back-end applications like APIs and microservices using server-side languages like Java, Python, C#, etc. Manage application deployment to the cloud or on-prem, health and performance monitoring, security hardening and disaster recovery for deployed applications Manage data storage and retrievals in applications by utilizing database technologies such as Oracle, MySQL, MongoDB, etc.
Skills Required:Microservices, Computer engineering, C++, REST APIs, Google Cloud Platform, Google Cloud Platform Cloud Run, Cloud Infrastructure, Java, Python, GitHub
Skills Preferred:Artificial Intelligence & Expert Systems, Telematics
Experience Required:2 or more years of professional experience in backend software engineering with a focus on cloud-native services on Google Cloud Platform 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 Google Cloud Platform services including Cloud Run, GKE, Pub/Sub, Cloud Build, and Cloud Logging 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.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 PreferredExperience 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 Google Cloud Platform
Education RequiredBachelor's Degree
Education PreferredCertification Program