Backend Developer

Backend Developer

Dearborn, MI

• Job Category:
  Information Technology
• Position Type:
  Contract
• Duration:
  Long-term
• Remaining Positions: 1

• Engage with customers to understand their use‑cases and requirements.
• 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.
• Promote improvements in programming practices, such as test‑driven development, continuous integration, and continuous delivery.
• Optimize back‑end infrastructure and deployment practices to improve application resiliency and reliability.
• Support security practices to safeguard user data including encryption and anonymization.

• GCP Cloud Run, C++, Git Hub, REST APIs, Google Cloud Platform, Cloud Infrastructure, Microservices, Java, Python

• 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 a 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 Git Hub‑based development workflow.
• Experience instrumenting services with Open Telemetry or equivalent observability frameworks.
• Demonstrated ability to write clean, testable, well‑documented code in a collaborative team environment.

• 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.

• Bachelor's Degree

• Certification Program

Pay Range: $61.00 - $66.00 per hour

Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives.