DevOps Engineer

• Build, maintain, and improve CI/CD pipelines for trunk-based development, working directly with development teams across time zones.
• Deploy and manage containerized applications on Azure (AKS preferred) - youre comfortable enough with Docker and Kubernetes that "just restart the pod" isnt your only move.
• Design and maintain infrastructure as code (Terraform or Bicep) - provisioning, environment consistency, and cleaning up the drift nobody wants to own.
• Use AI-assisted development tools (Claude Code, GitHub Copilot, or similar) as part of your actual daily workflow - not a novelty, a habit. Scripting, troubleshooting, and automation should be faster because of it.
• Operate production MongoDB - routine administration, backup/restore testing, and enough comfort with Mongo Atlas to not panic during a replica set election.
• Implement and maintain monitoring and centralized logging (Datadog, Site24x7, ELK, Splunk, or similar) so problems get caught before clients notice them.
• Take a share of the on-call rotation and run incident response for your piece of the system - writing postmortems that name the actual cause.
• Support security hygiene - patching, secrets, certificates, vulnerability follow-up - and help produce evidence for SOC 2 / ISO 27001 / GDPR audits when asked.
• Manage the unglamorous but critical stuff: domain/DNS (Cloudflare/GoDaddy), version control hygiene, ticket discipline in Jira.

• 1-5 years in DevOps/SRE/infrastructure roles, with real production ownership - not just POCs and sandbox environments.
• Solid Azure fundamentals: compute, networking basics, IAM, cost visibility. AWS/GCP exposure is a plus, not a substitute.
• Hands-on with Docker and Kubernetes in a real deployment context.
• Working CI/CD experience with Azure DevOps, GitHub Actions, Jenkins, or Bitbucket CI/CD.
• Comfortable with Python or Bash for automation - youd rather write a script than repeat a manual step three times.
• Some exposure to MongoDB administration; Mongo Atlas familiarity is a plus.
• Familiarity with Git-based version control and ticketing tools (Jira or similar).

• Practical, current fluency with AI-assisted development tools - Claude Code specifically preferred, GitHub Copilot or equivalent acceptable. If you havent used one to actually get work done faster, this isnt the right seat yet.
• Genuine curiosity about how AI tooling changes DevOps work - were an AI company, and we expect that to show up in how you work, not just what you build.

Required Skills