Platform Engineer - AI Infrastructure
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About the role
Sarvam is building a sovereign AI platform for India across research, models, infrastructure and applications. You will build platform services that help ML teams schedule, scale, serve and manage workloads across a multi-vendor GPU fleet.
What you'll do
- Build control-plane services, scheduler integrations and autoscaling controllers
- Develop a multi-tenant inference-serving platform with routing and rollout capabilities
- Implement GPU scheduling, quota enforcement and topology-aware placement
- Create platform networking, observability, storage and cost capabilities
- Build self-service CLI, SDK and APIs for ML engineers
- Automate cluster provisioning, node lifecycle and driver rollouts
Skills
Must have
- Go
- Python
- Kubernetes
- Systems engineering
- GPU scheduling
- Multi-tenancy
- Autoscaling
- Control-plane services
Nice to have
- Inference serving
- Model serving
- GPU isolation
- Kubernetes networking
- Rdma
Tools
- Terraform
- Crossplane
- Kueue
- Volcano
- Slurm
- Run.ai
Who it's for
- Experience
- 5+ years
- Domain
- ai infrastructure
About Sarvam
Sarvam has 28 open roles in Bangalore, at 732, Chinmaya Mission Hospital Road, Indiranagar Stage 1, Bengaluru, Karnataka 560038. See every Sarvam role.
More at Sarvam
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Lead or staff · 8 to 12 years
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