Site Reliability Engineer, Provider Operations
At a glance
Mid-level Site Reliability role at OpenRouter. Remote, United States · full-time · $245,000–$295,000 base.
devopsroles summary, based on the employer's posting.
What you'll do
- Track latency, throughput, errors, uptime and output quality across provider endpoints, then set tier-specific SLOs and alerts
- Shorten detection time for unhealthy endpoints and coordinate automatic traffic shifts with the routing team
- Lead provider incident response, from triage and external updates through postmortems and completed follow-ups
- Use telemetry to produce provider scorecards and escalate endpoint problems directly with providers
- Build regression checks, operational tools and launch load tests to catch quality issues and reduce manual work
What you bring
- At least four years operating high-traffic customer-facing systems in SRE, production engineering or infrastructure roles
- Strong observability practice across metrics, tracing, logs, SLOs, error budgets and actionable alerts
- Software development ability in TypeScript or Python, with a preference for building tools over following runbooks
- Experience with distributed-system problems such as timeouts, retries, backpressure and partial outages
Who this fits
This mid-level role suits an SRE or infrastructure engineer who can build operational tooling and lead incidents with external partners. You’ll join the Provider Operations team, report to its manager and take on-call for provider incidents. The role is remote in the United States.
From the employer
About OpenRouter
OpenRouter is the leading AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve.
As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads.
About the Role
OpenRouter routes almost a billion requests and more than 20 trillion tokens a day, across 80+ providers and thousands of endpoints. Every one of those providers can degrade, rate-limit, change behavior, or go down without warning. Our customers count on us to absorb that chaos so their apps never notice.
We're hiring our first AI Inference SRE to own the operational health of our provider supply. You'll make sure every endpoint we route to is fast, correct, and available, and that we detect and route around problems before customers do. You'll sit on the Provider Operations team, reporting to the Provider Operations Manager.
What You'll Do
Provider health and observability. Build and own monitoring for every provider and endpoint: latency, throughput, error rates, uptime, and output correctness. Set SLOs per provider tier and alert on them.
Detection and failover. Improve how quickly we detect degraded endpoints, and work with the routing team so traffic shifts away from them automatically.
Incident response. Own on-call for provider incidents: triage, mitigate, communicate with providers, run postmortems, and drive follow-ups to closure.
Provider accountability. Turn telemetry into scorecards and SLO reporting that providers act on, and be the technical escalation point when a provider's endpoint is misbehaving.
Quality regression detection. Build continuous canaries and evals that catch silent regressions (quantization changes, broken tool calling, truncated streams, pricing or usage-reporting mismatches), not just outright downtime.
Automate the toil. Replace manual provider-ops work (disabling endpoints, capacity changes, deprecations, rate-limit tuning) with safe, auditable tooling.
Capacity and launch readiness. Build tooling to load-test endpoints before big launches so day-zero traffic doesn't take them down.
About You
4+ years in SRE, production engineering, or infrastructure roles running high-traffic, customer-facing systems.
Strong with observability tooling and practice: metrics, tracing, logs, SLOs/error budgets, alerting that is always actionable.
Capable software engineer who prefers writing tools over executing runbooks. TypeScript and/or Python.
Experienced with distributed systems failure modes: timeouts, retries, backpressure, partial outages, noisy neighbors.
Calm, clear incident commander who communicates well with external partners under pressure.
Understands, or is eager to learn deeply, how LLM inference is served: streaming, tool calling, prompt caching, throughput/latency tradeoffs, and how provider APIs differ.
Nice to Have
Experience at an inference provider, model lab, GPU cloud, or API gateway/CDN company.
Experience with our stack: TypeScript, Cloudflare Workers, Postgres, ClickHouse, GCP, Vercel.
Background in routing, load balancing, or traffic management systems.
Experience with evals or synthetic monitoring for ML systems.
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Site ReliabilityRemote$240k+
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