Description
You're the engineer who keeps more than 50 SaaS products running when others are improvising. We need DevOps engineers capable of stepping into unknown AWS environments, restoring order, and driving uptime beyond 99.9% through genuine monitoring, genuine automation, and genuine root-cause analysis. You'll break down complex projects into daily tasks, deliver production-ready Python or JavaScript, and use AI as your assistant.
Many teams talk about "cloud" while manually nursing systems. We're systematizing reliability across dozens of acquired products where original developers are long gone and documentation is incomplete. That's where it gets interesting: you'll leverage agents and current tooling to explore unfamiliar systems 5–10× faster, document your findings, and automate solutions so the same incident never repeats. Rather than judging you on certifications and vendor logos, we'll observe you troubleshoot in real time, produce an actual 5-Whys that identifies one preventable root cause, and create automations that endure in production.
This is not an L2 "follow the runbook" position. Here, you author the runbooks, architect the deployment path from dev to staged to 10% to 100% with soak periods and rollback triggers, and implement the monitors that detect edge cases. You reject risky changes before execution. You distinguish infrastructure failures you own from application bugs Engineering owns, and you route permanent remediation to the appropriate team.
You'll operate at the engineering heart of reliability, owning infrastructure initiatives, 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 across a fleet, join us. Bring expert-level AWS knowledge, production-grade coding ability, rigorous scope discipline, and daily, critical reliance on AI tooling. If you're prepared to keep systems operational, please apply.
What you will be doing
- Executing complex infrastructure migrations, consolidations, production-grade automations, and monitoring modifications
- Diagnosing production outages, deploying immediate remediation, and documenting root cause analyses with permanent fixes routed to responsible teams
- Authoring, reviewing, and applying changes in production, including assessing whether a proposed change is safe for execution
What you will NOT be doing
- Spending time in Jira and perpetual status meetings - we value individuals who drive solutions, not merely track issues
- Supporting legacy systems indefinitely - you'll be empowered to lead meaningful improvements
- Waiting on bureaucratic approval pipelines - you'll possess the authority to deploy immediate fixes during incidents
Key responsibilities
- Advance reliability and standardization of cloud infrastructure across our expanding product portfolio by deploying robust monitoring, automation, and AWS best practices.
Candidate requirements
- Deep AWS infrastructure expertise (this is our primary platform - other cloud experience alone won't cut it)
- Experience owning large production infrastructure and troubleshooting production outages independently (not just following a runbook)
- Experience scripting with Python and Bash for day-to-day administration operations
- Experience managing and migrating production databases with multiple engines (including MySql, Postgres, Oracle, MS-SQL)
- Experience with infrastructure automation (Terraform, Ansible, or CloudFormation)
- Linux systems administration expertise
Applying for a role? Here’s what to expect.
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.
Chat-style
screening interview.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
Frequently asked questions
About the role
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
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.
Join the world's largest community of 
AI-first remote workers.