You’ll sit at the engineering core of reliability, owning infrastructure projects, incident response and RCAs, and change requests with ready-to-use runbooks. If you’ve already owned a serious SaaS product and want to scale that discipline to a fleet, step in. Bring expert-level AWS, production-grade coding chops, ruthless scope control, and daily, critical use of AI tools. If you’re ready to keep the lights on, please apply.
What you will be doing
- Complex infrastructure migrations, consolidations, production-grade automations, monitoring changes
- Triaging production outages, implementing immediate fixes, and writing root cause analyses with permanent fixes assigned to the responsible teams
- Creating, reviewing, and executing changes in production, including validating whether a proposed change is safe to execute
What you will NOT be doing
- Living in Jira and endless status meetings - we value people who can drive solutions, not just track problems
- Maintaining outdated systems indefinitely - you'll be empowered to drive meaningful improvements
- Getting blocked by bureaucratic approval chains - you'll have the authority to execute immediate fixes to resolve incidents
Key responsibilities
- Build, maintain, and improve CI/CD pipelines to enable fast, safe, and repeatable deployments
- Automate repetitive operational tasks by writing scripts and internal tools to improve team efficiency
- Deploy and manage microservices on cloud platforms including configuration, scaling, and troubleshooting
- Participate in incident response and post-incident reviews; maintain runbooks for critical systems
- Improve monitoring and observability through dashboards, alerts, and log pipelines
- Write and maintain technical documentation for systems and processes you own
Candidate requirements
- 3+ years of hands-on DevOps engineering experience in a production environment
- Proven experience with Azure; familiarity with AWS or other cloud platforms is a plus
- Proficiency in Terraform for infrastructure provisioning and change management
- Hands-on experience with CI/CD platforms such as GitHub Actions or Argo Workflows
- Experience with Docker, Kubernetes, and container ecosystems (ECS, EKS, or AKS)
- Solid Linux fundamentals: processes, networking, permissions, and troubleshooting
- Familiarity with observability tools such as the LGTM stack, Datadog, or CloudWatch
- Competence in Python or Bash scripting
- Security-first mindset: IAM least-privilege, secrets management, and container hardening
