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grpc cloud infrastructure python kubernetes distributed systems📋 Description
- Architect distributed services for AI infrastructure control plane.
- Lead design for multi-tenant inference cloud systems.
- Define SLOs, observability, and high-availability for the platform.
- Collaborate with Product, TPMs, and Eng managers on roadmaps.
- Hands-on coding to build scalable AI hosting infrastructure.
🎯 Requirements
- Distributed systems mastery across cloud services.
- Cloud networking, VPCs, load balancers, Kubernetes, and storage.
- AI/ML domain knowledge: Gen AI platforms, LLM hosting, inference workflows.
- Operational track record for high-availability, multi-region services.
- Open-source engagement and ownership mindset.
- Go or Python proficiency; gRPC for service communication.
🎁 Benefits
- Career development resources and LinkedIn Learning access.
- Well-being programs, flexible time off, and local meetups.
- Reimbursement for conferences, training, and education.
- Equity compensation and Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer.
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