11 hours ago
Base Salary
$230k - $325k/yr
Responsibilities
- Design and implement secure access proxies, gateways, and credential brokers for narrowly scoped, auditable infrastructure access.
- Integrate identity and access policies across clients, proxies, and target systems, including expiration, revocation, stale-policy, and active-session behavior.
- Build observability for latency, errors, saturation, authorization decisions, and identity attribution without exposing credentials.
- Engineer multi-region rollouts, canaries, rollback, failover, recovery, realistic test environments, load tests, and failure testing.
- Own production support, maintenance, upgrades, incident recovery, and durable reliability improvements for core access services.
- Develop reusable APIs, client tooling, diagnostics, self-service workflows, and migration plans with tested rollback and recovery paths.
Requirements
- Experience building and operating production backend, proxy, networking, or infrastructure services with demanding scale or availability requirements.
- Practical networking knowledge covering HTTP, TCP, TLS, DNS, routing, and load balancing across real request paths.
- Ability to analyze performance bottlenecks, partial failures, multi-region deployments, and difficult production changes in personally built systems.
- Understanding of authentication, authorization, least privilege, trust boundaries, credential handling, and access-control failure consequences.
- Strong software engineering fundamentals and experience with Go, Rust, Python, or similar languages.
- Experience using tests, profiling, telemetry, and reproducible experiments to debug system boundaries and verify correctness, performance, and recovery.
- Ability to make scope decisions, communicate tradeoffs, and follow work from code through production.
- Teleport or comparable access-platform experience is helpful but not required.
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.