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You're the engineer who sustains 50+ SaaS products when everyone else is flying blind. We need DevOps professionals who can explore unknown AWS environments, restore order, and drive uptime above 99.9% using proven monitoring, automation, and root-cause analysis. You'll break down complex projects into single-day tasks, deliver production-ready Python or JavaScript, and leverage AI as your assistant.
Many teams talk about "the cloud" while manually nursing servers. We're scaling reliability across dozens of acquired products whose original creators are gone and whose documentation is incomplete. That's the challenge: you'll employ agents and current tooling to understand unfamiliar systems 5–10x faster, document your findings, and automate solutions so the same incident never recurs. Rather than judging you on certifications and brand names, we'll observe you troubleshoot in real time, author a genuine 5-Whys that identifies one preventable root cause, and construct automations that endure production conditions.
This isn't an L2 "follow the script" position. Here, you author the scripts, architect the deployment from dev through staged to 10% to 100% with soak periods and rollback criteria, and create the monitors that detect corner cases. You reject risky changes before they reach production. You distinguish infrastructure failures under your ownership from application bugs that Engineering addresses, and you route permanent remediation to the appropriate team.
You'll work at the engineering heart of reliability, managing infrastructure projects, incident response with RCAs, and change requests accompanied by copy-paste-executable runbooks. If you've already maintained a significant SaaS product and are ready to extend that expertise across a fleet, join us. Bring deep AWS knowledge, production-grade development skills, strict scope discipline, and daily, mission-critical reliance on AI tooling. If you're prepared to maintain continuous operations, 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.
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