Staff platform engineer

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Staff platform engineer

Own the compute and data planes underneath every stack we ship — the layer clients never see and can never afford to have fail.

Team Infrastructure

Location Remote (IST ±4)

Type Full-time

Package Competitive

• equity

About The Role

You'll work on the substrate: multi-region compute scheduling, autoscaling under bursty inference load, and the storage and networking seams that everything above depends on.

This is a small team with real ownership. You will not be handed a ticket queue — you'll be handed a constraint and trusted to design your way out of it.

What you'll do

• ▸Design and operate multi-region GPU compute with predictable cost and 99.99% availability
• ▸Own infrastructure-as-code, CI, and the deployment path from merge to production
• ▸Set the reliability bar: SLOs, error budgets, on-call practice, and post-incident review
• ▸Work directly with client engineering teams during embedded engagements

What we're looking for

• ▸6+ years building and operating production distributed systems
• ▸Deep Kubernetes and cloud-provider experience, and the scars to go with it
• ▸Fluency in a systems language — Go, Rust, or equivalent
• ▸You've been on-call for something that mattered, and improved it

Nice to have

• —GPU scheduling or inference-serving experience
• —Experience in a consulting or embedded-engineering model

Not quite your role? See the other three openings.

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Staff platform engineer

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