Description
You're the engineer who ensures 50+ SaaS products stay online while others are still troubleshooting. We need DevOps professionals capable of stepping into unknown AWS environments, restoring stability, and driving uptime beyond 99.9% through robust monitoring, automation, and thorough root cause analysis. You'll break complex projects into single-day tasks, deliver production-ready Python or JavaScript, and leverage AI as a force multiplier.
Many organizations claim "cloud expertise" while manually nursing infrastructure. We're scaling reliability engineering across a portfolio of acquired products where original developers are gone and documentation is incomplete. The challenge: you'll deploy agents and current-generation tooling to explore unfamiliar systems 5–10× faster, document your findings, and automate solutions so incidents don't recur. Rather than judging you on certifications and vendor badges, we'll observe you troubleshoot in real time, author a genuine 5-Whys analysis that identifies a single preventable root cause, and construct automations that withstand production conditions.
This is not a tier-two "follow the runbook" position. Here, you author the runbooks, architect the deployment path from development through staged environments to 10% and full rollout with soak periods and rollback criteria, and create monitoring that detects corner cases. You reject risky changes before execution. You distinguish infrastructure failures you're accountable for from application bugs Engineering must resolve, and you route permanent remediation to the correct team.
You'll operate at the engineering center of reliability, responsible for infrastructure initiatives, incident management and root cause documentation, and change execution with copy-paste-ready runbooks. If you've previously owned a substantial SaaS product and want to extend that expertise across an entire fleet, join us. Bring expert AWS knowledge, production-grade development skills, disciplined scope management, and daily, mission-critical use of AI tooling. If you're prepared to maintain service continuity, please apply.
What you will be doing
- Executing sophisticated infrastructure migrations, consolidations, production-quality automations, and monitoring enhancements
- Responding to production incidents, deploying immediate remediation, and documenting root cause analyses with permanent corrective actions assigned to accountable teams
- Authoring, reviewing, and implementing production changes, including assessing whether a proposed modification is safe for execution
What you will NOT be doing
- Spending your day in Jira and recurring status calls - we prioritize individuals who deliver solutions, not just document issues
- Keeping legacy systems running indefinitely - you'll be empowered to implement substantive upgrades
- Waiting on bureaucratic approval processes - you'll possess the authority to deploy immediate fixes during incidents
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 writing scripts in Python and Bash for routine administrative tasks
- Experience administering and migrating production databases across 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.
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Interview with the hiring manager.
Pass
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Accept job offer.
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