Cloud Platform Engineer

Role overview Build and operate the cloud platform that manages robot fleets, device deployments, and telemetry. The role combines backend development in Go with Kubernetes operations, device-to-cloud API design, security controls, and the reliability practices needed to run services at scale.

Responsibilities - Develop fleet APIs, deployment pipelines, and telemetry ingestion services. - Define gRPC and protobuf contracts between on-device agents and cloud services. - Design and operate Kubernetes infrastructure with attention to reliability, scale, and cost. - Implement access controls, audit logging, and mutual TLS for device identity. - Build CI/CD pipelines for deploying edge software across fleets. - Set platform service objectives and build observability to track them.

Requirements - At least 4 years building production backend systems in Go. - Deep Kubernetes experience, including designing systems to handle failures. - Strong gRPC and protobuf skills, including APIs consumed by devices. - Experience with time-series data, log aggregation, and distributed tracing. - A security-minded approach that includes considering threat models.

Nice to have - Experience with IoT or edge device management platforms. - Familiarity with NATS, MQTT, or similar messaging systems. - Knowledge of WebRTC or other low-latency video transport for teleoperation. - Contributions to open-source infrastructure tools.

Benefits and work setup - Fully remote, with flexible working hours. - Competitive salary.