Description
You're the engineer who maintains operational stability for 50+ SaaS products when ambiguity is the norm. We need DevOps professionals capable of entering unknown AWS environments, restoring order, and driving uptime beyond 99.9% through genuine monitoring, automation, and root-cause analysis. You'll break complex initiatives into daily tasks, deliver production-ready Python or JavaScript, and leverage AI as a force multiplier.
Many organizations claim "cloud expertise" while manually nursing fragile systems. We're systematizing reliability across a portfolio of acquired products where the original developers have departed and documentation is incomplete. The challenge: you'll harness agents and contemporary tooling to understand unfamiliar systems 5–10x faster, document your findings, and automate resolutions so repeat incidents become impossible. Rather than judging you on certifications and vendor badges, we'll observe how you diagnose issues in real time, produce a legitimate 5-Whys that identifies a single preventable root cause, and construct automations that withstand production conditions.
This is not a tier-2 "execute the runbook" position. Here, you author the runbooks, architect deployments from development through staged to 10% to full rollout with soak periods and rollback criteria, and create monitors that detect corner cases. You block risky changes before they reach production. You distinguish infrastructure failures under your control from application bugs Engineering must address, and you route permanent remediation to the correct team.
You'll operate at the engineering center of reliability, taking ownership of infrastructure initiatives, incident response with RCAs, and change requests supported by copy-paste-executable documentation. If you've already managed a mission-critical SaaS product and want to extend that expertise across a fleet, join us. Bring advanced AWS knowledge, production-quality coding skills, uncompromising scope discipline, and daily, essential use of AI tooling. If you're prepared to ensure uninterrupted service, please apply.
What you will be doing
- Sophisticated infrastructure migrations, consolidations, production-quality automations, and monitoring enhancements
- Diagnosing production incidents, deploying immediate remediation, and documenting root cause analyses with permanent fixes delegated to accountable teams
- Authoring, validating, and deploying changes in production environments, including assessing whether a requested change is safe to implement
What you will NOT be doing
- Spending your time in Jira and perpetual status updates - we reward those who deliver solutions, not simply document problems
- Sustaining legacy systems without improvement - you'll have mandate to initiate substantive enhancements
- Waiting on bureaucratic sign-off workflows - you'll possess the authority to deploy urgent fixes that restore service
Key responsibilities
- Advance reliability and consistency of cloud infrastructure across our expanding product portfolio by deploying comprehensive monitoring, automation, and AWS best practices.
Candidate requirements
- Extensive AWS infrastructure expertise (this is our core platform - experience with other clouds alone is insufficient)
- Experience operating 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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