Senior Software Engineer - Reliability

Atlan; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Atlan is seeking a reliability-focused engineer to join the Reliability team. You will design gates and guardrails for production, push fault-injection benchmarks, and build autonomous remediation capabilities that reduce toil.

You’ll work on a mature codebase, collaborating across teams to ensure safe deployments and scalable reliability at enterprise scale. This role emphasizes trust, safety, and practical automation to improve incident response.

Job description

Who We Are

Atlan is building the context layer for enterprise AI. Enterprises are pouring money into AI and most of it dies in production because the AI does not understand the business context around the data. That is the problem Atlan solves.Gartner has named context the defining issue in enterprise AI, and calls context graphs the essential infrastructure for AI agents, naming Atlan one of three vendors already building it. We are also the only vendor named a Leader across all four major Gartner and Forrester evaluations for data catalogs, data governance and metadata management, the foundation the context layer runs on.Come build the infrastructure that AI runs on.

The Team

You’ll join the Reliability team, which runs a multi-agent AI SRE platform that is already live in production. Today, agents investigate incidents, remediate them, and resolve networking tickets across every tenant we run. A small core team built it and shipped it fast. The scope has now outgrown them.Be clear on what this role is not. It is not an incident-command SRE seat. Our view is simple: if a human is fixing production by hand, the system has failed. It is also not a greenfield charter. You’ll join a mature, opinionated codebase with documented architecture decisions and eval-gated pull requests, and you’ll make it better.

Why now

the platform works, and the hardest problems are wide open. Making agent investigations accurate enough that engineers trust them without re-checking is a genuine frontier problem in agentic reliability. Other Atlan teams are lining up to put their own reliability metrics on the platform. What you build in the next year decides how far autonomous operations can go at Atlan.

What You Will Do

Make investigation agents right, not just fast. Push root-cause accuracy toward the point where engineers trust the answer without re-checking it. Treat every wrong diagnosis as a class of failure to remove, not a one-off bug to patch.Grow auto-remediation coverage, safely. Take remediation from a handful of playbooks to dozens. Each one earns autonomy in stages: dry run before execute, human-approved before autonomous.Own the evals that decide when an agent can be trusted. Build and run fault-injection benchmarks and eval harnesses. Set pass marks before the run, report results with honest denominators, and validate the harness itself, not just the agent.Design the gates that let an agent write to production. Fail-closed checks, kill switches, approval flows and blast-radius limits. You start from the question "what happens when the agent is wrong?"Build new agents where the toil says they belong. Every agent maps to a category of toil it removes, and each one you ship should make the next one cheaper to build.Build the platform for other teams. Clean interfaces, guardrails and safe defaults, so teams beyond reliability can trust the platform on their own production. Your hiring manager owns cross-team alignment. You earn adoption through what you build.Shi