Related skills
azure aws kubernetes gcp distributed systems📋 Description
- Own tech vision and roadmap for core Workflow and Function Runtime primitives.
- Lead and grow multiple engineering teams for highly available, scalable distributed systems.
- Hands-on with architecture and code: review designs, incidents, and critical paths.
- Drive operational excellence: SLOs, on-call, incident response, capacity planning, resilience.
- Optimize cost and efficiency at scale for long-running and bursty workloads.
- Define and mature platform APIs and abstractions for workflows and runtime integration.
🎯 Requirements
- Proven experience leading teams building core platform/infrastructure services.
- Hands-on leader; architecture/design contributions and coding to unblock.
- Scalable, multi-tenant distributed systems; service decomposition and fault tolerance.
- Proven production ops: SLOs, on-call, incidents, postmortems, capacity management.
- Drive cloud-native cost efficiency: profiling, tuning, right-sizing.
- 10+ years in software engineering with 4-6+ years in leadership; Kubernetes/cloud exp.
🎁 Benefits
- Benefits to support health, finances, and well-being
- Flexible Paid Time Off
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
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