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You're the engineer who sustains 50+ SaaS products when no one else has the blueprint. We need DevOps engineers capable of stepping into unknown AWS environments, restoring order from instability, and driving uptime beyond 99.9% through genuine monitoring, automation, and root cause analysis. You'll break down complex initiatives into daily deliverables, deploy production-ready Python or JavaScript, and leverage AI as your assistant.
Many organizations talk about "cloud" while hand-holding individual servers. We're scaling reliability practices across a portfolio of acquired products where original developers have departed and documentation is incomplete. The challenge: you'll combine agents and contemporary tooling to explore unfamiliar systems 5–10x faster, document your findings, and automate solutions so recurring failures are eliminated. Rather than judging you on certifications and vendor badges, we'll observe you troubleshoot in real time, author a genuine 5-Whys that isolates one preventable root cause, and create automations that endure in production.
This is not an L2 "execute the runbook" position. Here, you author the runbooks, architect the deployment path from development through staged rollout to 10% and 100% with soak periods and rollback mechanisms, and construct the monitoring that identifies edge scenarios. You block risky changes before deployment. You distinguish infrastructure failures under your ownership from application bugs owned by Engineering, then route permanent remediation to the correct team.
You'll operate at the engineering foundation of reliability, taking ownership of infrastructure initiatives, incident management and RCAs, and change requests accompanied by copy-paste-ready runbooks. If you've previously owned a significant SaaS product and wish to apply that discipline across a fleet, join us. Bring expert-tier AWS knowledge, production-quality coding skills, disciplined scope management, and daily, essential use of AI tooling. If you're prepared to maintain operational excellence, 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.