Principal Backend Systems Engineer (C++ / Distributed Systems / ML Inference)
Tasks
- Build GPU based ML inference gateway
- Build model serving infrastructure
- Collaborate with machine learning and cross functional teams
- Design backend architecture and distributed systems
- Develop production backend systems and API services
- Implement data flow solutions
- Lead architecture reviews and technical direction
- Mentor developers
- Operate production backend systems
- Optimize throughput latency and system performance
- Use cloud infrastructure and CI CD pipelines
- Use observability solutions
Perks/Benefits
Skills/Tech-stack
Blocking I/O | C++ | CI/CD | Cloud infrastructure | Concurrency | Distributed Systems | GPU Computing | I/O | Inference | Infrastructure as Code | Kubernetes | Low Latency | Low-Latency Systems | Machine Learning | Model Serving | Non-blocking I/O | Observability | Python | “as-code”
Education
N/A
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