Description
You're the engineer who keeps more than 50 SaaS products running when others are second-guessing. We need DevOps engineers who can step into unknown AWS environments, restore order, and drive uptime beyond 99.9% through effective monitoring, automation, and rigorous 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.
Most organizations talk about "cloud" while manually maintaining individual servers. We're scaling reliability across dozens of acquired products where the original builders have departed and documentation is incomplete. That's the challenge: you'll use agents and current tooling to explore unfamiliar systems 5–10x faster, document your findings, and automate them so the same outage never recurs. Rather than judging you on certifications and vendor badges, we'll observe you troubleshoot in real time, produce a genuine 5-Whys that identifies one preventable root cause, and create automations that withstand production conditions.
This is not an L2 "execute the runbook" position. In this role, you author the runbooks, architect the deployment from dev to staged to 10% to 100% with soak periods and rollback triggers, and construct the monitors that detect edge cases. You reject risky changes before they're deployed. You distinguish infrastructure failures you own from application bugs Engineering owns, and you route permanent fixes to the correct team.
You'll operate at the engineering center of reliability, owning infrastructure projects, incident response and RCAs, and change requests with copy-paste-executable runbooks. If you've already owned a significant SaaS product and want to extend that discipline to a fleet, join us. Bring expert-level AWS, production-grade coding skills, rigorous scope control, and daily, critical use of AI tools. If you're prepared to keep the lights on, please apply.
What you will be doing
- Complex infrastructure migrations, consolidations, production-grade automations, monitoring changes
- Triaging production outages, deploying immediate fixes, and producing root cause analyses with permanent fixes assigned to the responsible teams
- Creating, reviewing, and executing production changes, including validating whether a proposed change is safe to execute
What you will NOT be doing
- Living in Jira and endless status meetings - we value people who can drive solutions, not just track problems
- Maintaining outdated systems indefinitely - you'll be empowered to drive meaningful improvements
- Getting blocked by bureaucratic approval chains - you'll have the authority to execute immediate fixes to resolve incidents
Key responsibilities
- Drive reliability and standardization of cloud infrastructure across our growing product portfolio by implementing 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.
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