Site Reliability Engineer, Provider Operations
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-10-09). Last seen at its source 1h ago.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Remote (US)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $150k–224.8k/yr
Middle 50% of 4032 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 1d ago · last seen 1h ago
The listing
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.