Helix AI Engineer, Backend Infrastructure
Tasks
- Architect and scale cloud backend infrastructure for real time streaming
- Build observability alerting and tooling for live robot traffic
- Design low latency data pipelines for media and sensor ingestion
- Drive architectural decisions and mentor engineers
- Ingest route and process high bandwidth streams
- Integrate ML model serving into real time data pipelines
- Own reliability latency and throughput SLAs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | Azure | C++ | CI/CD | Cloud platform | Containerization | Distributed Systems | Docker | GRPC | Go | Google Cloud | Google Cloud Platform | Inference Server | Kafka | Kubernetes | Low Latency | Low latency architecture | Observability | Python | RTSP | Rust | SageMaker | Service Mesh | Stream processing | TensorRT | Triton Inference | Triton Inference Server | WebRTC
Education
N/A
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