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You're the engineer who keeps 50+ SaaS products running when everyone else is making educated guesses. We need DevOps engineers who can step into unknown AWS environments, restore order to chaotic systems, and drive uptime above 99.9% through real monitoring, real automation, and real root cause analyses. You'll break down complex projects into daily tasks, deliver production-ready Python or JavaScript, and leverage AI as your assistant.
Most organizations talk about "cloud" while manually tending servers. We're scaling reliability across dozens of acquired products where the original builders have departed and the documentation is incomplete. That's where it gets interesting: you'll leverage agents and contemporary tooling to explore unfamiliar systems 5–10x faster, document your findings, and automate them so identical outages become impossible. Rather than judging you on certifications and vendor logos, we'll observe you troubleshoot in real time, produce a genuine 5-Whys that identifies one preventable root cause, and create automations that withstand production conditions.
This is not an L2 "follow the runbook" position. In this role, you author the runbooks, architect the deployment from dev to staged to 10% to 100% with soak periods and rollback criteria, and create the monitors that detect the corner cases. You reject risky changes before anyone executes them. You distinguish infrastructure failures you own from application bugs Engineering owns, and you route permanent fixes to the correct team.
You'll operate at the engineering center of reliability, owning infrastructure projects, incident response and RCAs, and change requests with copy-paste-executable runbooks. If you've already managed a substantial SaaS product and want to apply that discipline to an entire fleet, come join us. Bring expert-level AWS, production-grade coding skills, ruthless scope discipline, and daily, critical use of AI tools. If you're ready to keep the lights on, please apply.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.






It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.