Description
You're the engineer who stabilizes production when others are still diagnosing. We need DevOps engineers capable of exploring unknown AWS environments, restoring order from disorder, and driving uptime beyond 99.9% through genuine monitoring, genuine automation, and genuine root cause analysis. You'll break complex projects into daily deliverables, deploy production-ready Python or JavaScript, and leverage AI as your assistant.
Many organizations tout "cloud experience" while hand-holding servers. We're scaling reliability across dozens of acquired products where founding teams have departed and documentation is incomplete. The challenge: you'll apply agents and contemporary tooling to understand unfamiliar systems 5–10x faster, document your findings, and automate solutions so recurring incidents become impossible. Rather than judging you on certifications and vendor badges, we'll observe you troubleshoot in real time, produce an actual 5-Whys that identifies a single preventable cause, and construct automations that withstand production conditions.
This is not a tier-two "execute the runbook" position. In this capacity, you author the runbooks, architect the deployment from dev through staging to 10% then 100% with soak periods and rollback conditions, and create the monitoring that detects corner cases. You reject dangerous changes before execution. You distinguish infrastructure failures you control from application bugs Engineering controls, and you route permanent remediation to the appropriate team.
You'll work at the engineering center of reliability, managing infrastructure initiatives, incident response and root cause documentation, and change requests with copy-paste-ready runbooks. If you've already managed a substantial SaaS product and wish to extend that practice across a portfolio, join us. Contribute expert-tier AWS knowledge, production-quality coding ability, uncompromising scope discipline, and daily, essential use of AI tooling. If you're prepared to maintain uptime, please apply.
What you will be doing
- Sophisticated infrastructure migrations, consolidations, production-quality automations, monitoring adjustments
- Diagnosing production outages, deploying immediate remediation, and documenting root cause analyses with permanent corrections assigned to responsible teams
- Authoring, reviewing, and applying production changes, including assessing whether a proposed change is safe for execution
What you will NOT be doing
- Spending time in Jira and continuous status calls - we value individuals who can deliver solutions, not simply monitor issues
- Supporting legacy systems without end - you'll be authorized to pursue substantial enhancements
- Waiting on bureaucratic approval processes - you'll possess the authority to implement immediate remediation during 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.
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Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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