Staff platform engineer

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.

Responsibilities

• 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

Requirements

• 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

Skills

• GPU scheduling or inference-serving experience (nice to have)
• Experience in a consulting or embedded-engineering model (nice to have)

Benefits

• Competitive equity
• Remote work (IST ±4)
• Full-time position