Related skills
kubernetes distributed systems observability multi-cloud gpu📋 Description
- Replace isolated compute pools with a large-scale shared, container-based platform.
- Collaborate with platform leads to build features and migration paths for stateful platforms.
- Improve utilization via workload stacking, bin packing, and safe oversubscription.
- Lead engineers on design, execution, observability, performance, and operability.
- Evolve platform to a multi-cloud abstraction for cross-cloud workloads.
- Focus on GPU resource delivery to enable AI workloads.
🎯 Requirements
- Bachelor's degree in CS or related field, or equivalent experience.
- 12+ years of experience with large-scale, production distributed systems.
- 5+ years of production Kubernetes experience.
- Distributed data systems experience and migrating to Kubernetes.
- Ability to work with cross-functional partners across multiple organizations.
- Passion for automation and building tooling to reduce toil.
🎁 Benefits
- Equity eligibility.
- Flexible work options (PinFlex).
- Inclusive, equal-opportunity culture.
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