Description
You're the engineer who maintains uptime for 50+ SaaS products when others are still figuring things out. We need DevOps architects who can enter unknown AWS environments, restore stability, and drive availability beyond 99.9% through effective monitoring, automation, and rigorous root cause analysis. You'll break down complex projects into daily deliverables, deploy production-ready Python or JavaScript, and leverage AI as a force multiplier.
While most organizations tout "cloud expertise" while manually nursing their infrastructure, we're scaling reliability across dozens of acquisitions where original engineers have departed and documentation is incomplete. The challenge is clear: you'll use agents and current tooling to explore unfamiliar systems 5–10x faster, document your findings, and automate them so repeat incidents are eliminated. Rather than judging you on certifications and tool badges, we'll observe how you troubleshoot in real time, produce a genuine 5-Whys analysis that identifies one actionable root cause, and construct automations that withstand production conditions.
This is not an L2 "follow the script" position. Here, you author the runbooks, architect the deployment pipeline from dev through staged to 10% and full rollout with soak periods and rollback logic, and create the monitoring that surfaces edge-case failures. You block risky changes before they go live. You distinguish infrastructure issues you own from application bugs that belong to Engineering, and you route permanent fixes to the appropriate team.
You'll operate at the engineering center of reliability, managing infrastructure initiatives, incident response with RCAs, and change tickets supported by copy-paste-executable instructions. If you've already operated a production SaaS platform and want to apply that rigor across a portfolio, join us. Bring advanced AWS knowledge, production-quality coding skills, strict scope discipline, and daily, essential use of AI tooling. If you're prepared to ensure continuous operations, apply now.
What you will be doing
- Lead complex infrastructure migrations, consolidation efforts, production-grade automation development, and monitoring enhancements
- Triage live production incidents, deploy immediate remediation, and author root cause analyses with permanent corrective actions assigned to owning teams
- Author, review, and implement production changes, including assessing whether proposed changes meet safety criteria for execution
What you will NOT be doing
- Spending hours in Jira and recurring status syncs - we prioritize people who deliver solutions, not just monitor tasks
- Keeping legacy systems running forever - you'll be empowered to implement substantive enhancements
- Waiting on multilayer approval processes - you'll possess the authority to deploy immediate fixes during incidents
Key responsibilities
- Lead reliability and standardization initiatives for cloud infrastructure across our expanding product portfolio by deploying comprehensive monitoring, automation, and AWS best practices.
Candidate requirements
- Advanced AWS infrastructure knowledge (this is our core platform - experience with other clouds alone is insufficient)
- Track record managing production infrastructure running hundreds of containers
- Proficiency scripting in Python and Bash for routine administrative tasks
- Experience administering and migrating production databases across multiple engines (including MySql, Postgres, Oracle, MS-SQL)
- Hands-on experience with infrastructure automation tools (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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