Senior Manager, Platform Software Engineering
Key Skills for This Role
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Responsibilities
- Problems the team works on:
- Proxy and L7: request routing, TLS termination, connection management, config propagation across a large fleet, and keeping tail latency predictable under load.
- API Gateway: authentication and authorization, rate limiting and quotas, traffic policies, and giving service teams a safe, self-serve way to expose APIs.
- Inference gateway: routing AI inference traffic, which behaves differently from typical web traffic. Requests are long-running and often streamed, cost varies widely by request, and backend GPU capacity is expensive and limited. That makes routing, queuing, fairness, and capacity efficiency hard problems.
- What you'll do:
- Build and grow the team: hire engineers and tech leads, set expectations, give direct feedback, and develop people over time.
- Define the team's roadmap and priorities with leadership and partner teams.
- Stay close enough to the technical work to review designs, weigh tradeoffs, and make calls when needed.
- Own the operational health of the services: on-call, incident response, postmortems, and follow-through on reliability work.
- Work closely with networking, security, platform, and ML infrastructure teams on problems that cross team boundaries.
- What we're looking for:
- Experience managing engineers who build and operate distributed systems in production.
- A solid technical background in at least one of: proxies and load balancing, API gateways, service mesh, networking, or high-throughput backend services.
- Experience running latency-sensitive services, including on-call and incident management.
- Experience building something new, such as starting a team, launching a new service, or taking a product from early design to production.
- A track record of hiring well and helping engineers grow.
Nice to have:
- Hands-on experience with Envoy, NGINX or similar.
- Familiarity with LLM inference serving (batching, streaming, GPU utilization).
- Experience building internal platforms used by many engineering teams.
Qualifications
- Experience managing engineers who build and operate distributed systems in production.
- A solid technical background in at least one of: proxies and load balancing, API gateways, service mesh, networking, or high-throughput backend services.
- Experience running latency-sensitive services, including on-call and incident management.
- Experience building something new, such as starting a team, launching a new service, or taking a product from early design to production.
- A track record of hiring well and helping engineers grow.
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