Backend Software Engineer designing and implementing core services and infrastructure for remote assistance platform at Applied Intuition. Ensuring reliability and scalability in autonomous trucking solutions.
Responsibilities
Design, develop, and deploy scalable, low-latency backend services for remote assist session management and real-time data streaming.
Architect and implement the cloud infrastructure for remote assistance including technologies like protobuf, gRPC across multiple AWS regions.
Design and implement the service data persistence layer using no sql databases like Redis
Implement data pipelines to ingest, process, and store real-time data from autonomous vehicles.
Collaborate closely with onboard software teams and front-end engineers to ensure seamless end-to-end data flow.
Ensure the security, reliability, and resilience of the backend platform, including handling network disruptions and failover.
Optimize data serialization and transmission to minimize latency and bandwidth usage on the server side.
Requirements
Bachelor's degree in Computer Science or a related field
5+ years of professional experience in web services software development and cloud infrastructure
Strong proficiency in a backend programming language such as Go and Python
Experience with distributed systems, microservices, and building scalable backend applications
Experience with cloud platforms ( AWS, GCP or OCI) and containerization (Docker, Kubernetes)
Hands-on experience with NoSQL databases (e.g., Redis)
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