You're the engineer who maintains 50+ SaaS products while others are still guessing. We need DevOps professionals capable of navigating unknown AWS environments, stabilizing disorder, and driving uptime beyond 99.9% through genuine monitoring, genuine automation, and genuine root-cause analysis. You'll break down complex projects into single-day tasks, deliver production-quality Python or JavaScript, and leverage AI as your assistant.
Most organizations talk about "cloud" while manually nursing individual servers. We're systematizing reliability across dozens of acquired products where original developers have departed and documentation is incomplete. That's the challenge: you'll leverage agents and contemporary tooling to analyze unfamiliar systems 5–10× faster, document your findings, and automate solutions so the same failure never recurs. Rather than judging you on certifications and vendor badges, we'll observe how you troubleshoot in real time, produce a legitimate 5-Whys that identifies a single preventable root cause, and create automations that withstand production conditions.
This is not an L2 "execute the procedure" position. In this role, you author the procedures, architect the deployment from development through staged to 10% to 100% with soak periods and rollback triggers, and construct the monitors that detect corner cases. You block unsafe modifications before anyone executes them. You distinguish infrastructure failures you control from application bugs Engineering controls, and you route permanent solutions to the appropriate team.
You'll operate at the engineering center of reliability, managing infrastructure projects, incident response and root-cause analyses, and change requests with copy-paste-executable runbooks. If you've already operated a significant SaaS product and want to extend that expertise to an entire fleet, come forward. Bring expert-level AWS knowledge, production-quality coding skills, strict scope discipline, and daily, essential use of AI tools. If you're prepared to maintain operational continuity, 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.