Data Platform Engineer
Tasks
- Build autoscaling and capacity management
- Collaborate with ML teams for model releases
- Design model serving platforms
- Develop deployment workflows with canary releases
- Drive end-to-end observability
- Implement caching and request deduplication
- Implement multi tenant routing and rate limiting
- Implement request signing and abuse detection
- Integrate model serving with API gateways and observability
- Operate incident response for high availability services
- Optimize inference performance
- Tune GPU utilization and memory management
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | Abuse detection | Automated rollback | Autoscaling | C++ | Caching | Canary Releases | Content Filtering | Distributed Systems | FinOps | GPU Utilization | Go | Incident Response | KV cache | Kubernetes | Memory Management | Metrics | Multi-tenancy | Observability | Python | Rate Limiting | Request Deduplication | Request Signing | Rust | Security controls | Shadow testing | Structured Logging | TensorRT-LLM | Tracing | VLLM
Education
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