Description
You're the engineer who maintains uptime for 50+ SaaS products when nobody else has the answers. We need DevOps professionals who can step into unknown AWS environments, bring order to instability, and drive uptime above 99.9% through genuine monitoring, automation, and root cause analysis. You'll break down complex projects into daily deliverables, deploy production-ready Python or JavaScript, and leverage AI as your assistant.
Many organizations talk about "cloud" while manually tending individual servers. We're building industrial-grade reliability across dozens of acquired products where the original engineers have departed and documentation is incomplete. That's the opportunity: you'll harness agents and contemporary tooling to explore unfamiliar systems 5–10x faster, document your findings, and automate solutions so recurring outages become impossible. Rather than judging you on certifications and vendor badges, we'll observe how you troubleshoot in real time, author a genuine 5-Whys analysis that identifies one preventable root cause, and construct automations that withstand production conditions.
This is not an L2 "execute the runbook" position. In this capacity, you author the runbooks, architect the deployment path from development through staging to 10% and 100% with soak periods and rollback triggers, and create the monitoring that detects corner cases. You reject risky changes before they reach production. You distinguish infrastructure issues you control from application bugs Engineering controls, and you route permanent solutions to the correct team.
You'll operate at the engineering center of reliability, managing infrastructure initiatives, incident response and RCAs, and change requests with executable runbooks. If you've already managed a significant SaaS product and want to apply that expertise across a portfolio, join us. Bring expert AWS knowledge, production-quality coding skills, disciplined scope management, and daily, essential use of AI tools. If you're prepared to maintain operational excellence, please apply.
What you will be doing
- Leading complex infrastructure migrations, consolidations, production-grade automation efforts, and monitoring enhancements
- Diagnosing production outages, deploying immediate remediation, and documenting root cause analyses with permanent remediation assigned to accountable teams
- Authoring, reviewing, and implementing production changes, including assessing the safety of proposed modifications
What you will NOT be doing
- Spending time in Jira and perpetual status updates - we value engineers who deliver solutions, not just document issues
- Supporting legacy systems without end - you'll be authorized to implement substantive improvements
- Waiting on bureaucratic approval processes - you'll possess the authority to deploy immediate fixes during incidents
Key responsibilities
- Lead reliability and standardization of cloud infrastructure across our expanding product portfolio by deploying comprehensive 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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