You're the engineer who stabilizes production when no one else knows where to start. We need DevOps engineers capable of stepping into unknown AWS environments, restoring order from disorder, and driving uptime beyond 99.9% through rigorous monitoring, automation, and root-cause analysis. You'll break down complex projects into executable one-day increments, deliver production-ready Python or JavaScript, and leverage AI as an accelerant.
Most organizations talk about "cloud transformation" while hand-holding fragile systems. We're building industrial-grade reliability across dozens of acquired SaaS offerings where original engineers have departed and documentation is incomplete. The challenge: you'll deploy agents and cutting-edge tooling to map unfamiliar systems 5–10x faster, document your findings in code, and automate remediations so repeat incidents become impossible. Rather than judging you on certifications and vendor badges, we'll observe how you diagnose live issues, produce a meaningful 5-Whys analysis that identifies a single preventable root cause, and construct automations resilient enough for production deployment.
This is not a tier-two "execute the runbook" position. Here, you author the runbooks, architect the deployment pipeline from development through staging to canary and full rollout with soak periods and rollback triggers, and instrument the monitoring that surfaces obscure failure modes. You reject hazardous changes before they reach production. You distinguish infrastructure failures under your ownership from application bugs that belong to Engineering, and you route permanent remediations to the correct team.
You'll operate at the engineering heart of reliability, driving infrastructure initiatives, incident management and RCAs, and change execution with copy-paste-ready runbooks. If you've already run a significant SaaS platform and are ready to apply that expertise across an entire portfolio, this is your opportunity. Bring deep AWS knowledge, production-caliber coding ability, disciplined scope management, and daily, mission-critical use of AI tooling. If you're prepared to keep systems running, apply now.
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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