DevOps / Platform Engineer

Summary

Owns the delivery pipeline and the container platform, so development teams can build, test, and deploy software quickly and safely. Responsibilities

• Design and maintain CI/CD pipelines using GitHub Actions (or Azure DevOps, GitLab CI, Jenkins)
• Automate build, test, security scan, and deployment stages, including environment promotion and rollback
• Build CI/CD for Databricks workloads (notebooks, jobs, Lakeflow/Delta pipelines) using Databricks Asset Bundles and GitHub Actions, promoting code across dev, test, and prod workspaces
• Define and maintain Databricks cluster policies, compute pools, and job cluster standards; manage Unity Catalog objects as code through pipelines
• Containerize applications with Docker and manage container registries (e.g., Azure Container Registry)
• Deploy, operate, and upgrade Kubernetes clusters (AKS preferred), including node pools, ingress, autoscaling, and Helm charts
• Implement GitOps workflows (Argo CD, Flux)
• Build internal developer tooling and self-service templates
• Set up observability: logging, metrics, tracing, and alerting (Azure Monitor, Prometheus, Grafana), including Databricks job monitoring and system tables
• Support developers with troubleshooting and release issues

Required Qualifications

• 3-5+ years in DevOps, platform, or SRE roles
• Strong CI/CD experience, ideally with GitHub Actions
• Production experience with Docker and Kubernetes
• Familiarity with Helm and Kubernetes manifests/Kustomize
• Working knowledge of Databricks deployment tooling (Asset Bundles, Databricks CLI, or REST API)
• Scripting proficiency (Bash, Python, Go, or PowerShell)

Preferred Qualifications

• CKA/CKAD or Azure certifications (AZ-400)
• Experience with service meshes and progressive delivery (canary, blue/green)
• SRE practices: SLOs, error budgets, incident response