Senior Site Reliability Engineer, Agentic Automation
SewerAI Corporation, Remote
The role
We're hiring a senior engineer to bring AI agents into how the whole company works. You'll find the repetitive, manual work that doesn’t need to exist, in engineering and well beyond it, and build agentic workflows that take that work off people's plates and let them do things they couldn't do before. You'll also own the internal platform those agents run on, so they're reliable, observable, and secure.
This is a new kind of role, and it doesn't fit a standard title. It sits between SRE, automation, and applied AI. You don't need to be a career software engineer. You do need to think like an operator, write solid code, and have good judgment about where an agent helps and where it doesn't. You'll work with people in every part of the company, so learning how each team works matters as much as the technology.
This is a remote role on the SRE team. It is not part of the on-call rotation.
This is a US-based position. Candidates must reside in the US.
What you will do
- Find the Work Worth Automating: Work with engineering, operations, customer success, finance, and other teams to find high-value automation opportunities, then design, build, and ship agentic workflows for them.
- Eliminate Engineering Toil: Automate SRE and engineering chores such as alert triage, ticket creation and routing, incident follow-ups, dependency updates, and CI maintenance.
- Build for Non-Technical Teams: Ship tools that teams can rely on without needing to understand how they work under the hood.
- Own the Agent Platform: Run the internal platform our agents run on, including sandboxed execution, secrets management, network egress controls, permissions, and cost controls.
- Treat Agents Like Production Systems: Back every workflow with evals, observability, alerting, runbooks, and clear failure modes.
- Set the Guardrails: Define what agents can access and do, with least privilege, human approval for risky actions, and audit trails.
- Make It Repeatable: Document patterns and build reusable components so others can safely build their own agent workflows.
- Prove the Value: Measure impact (hours saved, response times, adoption) and retire workflows that don't pay off.
What you need
Required Technical Skills
- Agentic Workflows: Hands-on experience building and running agentic or LLM-powered workflows in a real environment, not just prototypes.