Related skills
grpc python kubernetes distributed systems go📋 Description
- Architect distributed AI infra services for control plane.
- Design high-scale multi-tenant inference cloud.
- Define SLOs and maintain health with observability.
- Partner with PMs, TPMs, and Eng Mgmt on roadmaps.
- Drive fleet optimization and AI-native networking initiatives.
🎯 Requirements
- Distributed systems mastery: cloud services, observability, security.
- Cloud infra: VPCs, load balancers, Kubernetes, block/object/NFS storage.
- AI/ML domain knowledge: Gen AI platforms, LLM hosting, inference workflows.
- Operational track record: high-availability services across regions.
- Open source engagement: OSS integration and ownership.
- Software engineering: Go or Python; gRPC for service-to-service.
🎁 Benefits
- We innovate with purpose.
- Career development with conferences, training, and LinkedIn Learning.
- Well-being: benefits, EAP, local meetups, flexible time off.
- Equal opportunity employer and inclusive culture.
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