What if every runbook you wrote could execute itself, every root-cause analysis could draft its own findings, and every 3 AM page could be met by an autonomous agent you trained — before you even open your laptop?
We run an AI-native community and social engagement platform that powers customer relationships for the world's largest brands. A single outage here isn't an internal inconvenience — it's a headline-level event for a Fortune 100 client. That's the bar. We're hiring a senior operations engineer to hold it.
The Role
You are an experienced, hands-on cloud operator who also happens to be an AI-native builder. You carry the pager, you resolve the incident, and then you do the part most teams skip: you encode what you learned into an agent, a guardrail, or a self-healing workflow so that class of problem never requires a human again.
Your performance isn't measured by ticket velocity. It's measured by the growing surface area of production work your agents can handle autonomously — safely, within policy,
with humans in the loop where it matters.
What You'll Own
- On-call & incident command. First responder on your shift. Triage, resolve, and escalate customer-impacting events. You treat uptime like a personal commitment, not a team abstraction.
- AI agent lifecycle. Design, deploy, tune, and maintain the autonomous agents that power pre-triage, change validation, auto-healing, RCA drafting, and permanent-fix tracking. When an agent fails, you fix the capability — not just the output.
- Safe production execution. Deployments, configuration changes, and cost-optimization actions pass through quality gates with tested rollbacks. You pull the lever the instant a change drifts off-plan.
- Root-cause discipline. Investigate to the vigente cause — not the symptom — then close the loop by shipping the prevention. An RCA without a landed fix is incomplete work.
- Knowledge multiplication. Document every procedure so a