Engineering Team Lead, Serverless Containers

What You'll Be Doing

  • Own the container platform end to end, including image delivery, placement, request routing, scale-up, and scale-to-zero across CPU and GPU.
  • Solve cold start issues through snapshotting, prewarming, image-layer caching, and other techniques for instant scale-from-zero.
  • Treat AI workloads as the normal case, managing GPU-backed containers, streaming responses, long-lived connections, and cost-efficient MCP servers.
  • Write Go code alongside your team and make architecture and difficult implementation decisions.
  • Grow engineers by setting ownership standards and coaching them beyond their comfort zones.
  • Manage people aspects such as hiring, performance reviews, growth paths, and providing honest feedback.
  • Collaborate with Product Managers to translate platform decisions into products that developers want to use.

Requirements

  • 2+ years of real people leadership experience, including hiring, coaching, and growing engineers.
  • Proven experience shipping production systems in Go.
  • Experience building container or workload platforms, including orchestration, scheduling, isolation, and request routing.
  • Strong Linux knowledge including namespaces, cgroups, image layers, and page cache, with comfort below the application layer.
  • Understanding of multi-tenancy with focus on density, isolation, and fairness among shared fleets.
  • Significant experience in building complex backend or infrastructure systems.
  • Track record of partnering with product, design, and business teams to ship software used by real users.
  • A low-ego, team-first mindset valued by technical peers.

Perks and Benefits

  • Comprehensive benefits package supporting well-being, growth, and work-life balance.
  • Benefits may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
AI Summary ✨

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