Description
You're the engineer who maintains uptime across 50+ SaaS products while others are still diagnosing the problem. We need DevOps engineers capable of entering unknown AWS environments, restoring order, and driving availability beyond 99.9% through genuine monitoring, automation, and root-cause analysis. You'll break down complex projects into daily deliverables, ship production-ready Python or JavaScript, and leverage AI as your assistant.
Most organizations talk about "cloud" while manually tending individual servers. We're scaling reliability across dozens of acquired products where the original builders have departed and the documentation is incomplete. That's where it gets interesting: you'll harness agents and current tooling to understand unfamiliar systems 5–10× faster, document what you discover, and automate it so the same incident never recurs. Rather than judging you on certifications and technology buzzwords, we'll observe you troubleshoot in real time, produce an actual 5-Whys that identifies one preventable root cause, and construct automations that withstand production conditions.
This is not an L2 "follow the runbook" position. Here, you author the runbooks, architect the deployment from development to staging to 10% to full rollout with soak periods and rollback conditions, and create the monitors that detect corner 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 appropriate team.
You'll operate at the engineering heart of reliability, owning infrastructure initiatives, incident response and RCAs, and change requests accompanied by copy-paste-executable runbooks. If you've already owned a substantial SaaS product and want to apply that discipline across a fleet, come forward. Bring expert-level AWS knowledge, production-grade coding skills, ruthless scope discipline, and daily, critical application 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, implementing immediate fixes, and writing root cause analyses with permanent fixes assigned to the responsible teams
- Creating, reviewing, and executing changes in production, 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 managing production infrastructure at a scale of hundreds of containers
- 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)
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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