Build, automate, and maintain software delivery pipelines and cloud infrastructure. Own CI/CD, containerization, IaC, and production observability.
DevOps Engineers bridge the gap between development and operations. They design and own the systems that take code from a developer's laptop to a production server reliably and repeatedly.
DevOps Engineers are among the most in-demand roles across startups, scale-ups, and enterprises. They appear in product teams, platform teams, and dedicated DevOps centers of excellence.
In Azure-heavy shops, they work extensively with AKS, Azure DevOps, and Bicep. In multi-cloud environments, they own Terraform and cross-cloud deployment pipelines.
Follow this path in order. Each step builds on the previous one. Complete all 10 to be job-ready.
Every server runs Linux. Master the command line, file systems, permissions, networking, process management, and systemd. Without this, nothing else works.
Learn Git branching, pull requests, merge strategies, and team collaboration workflows. Version control is the foundation of every CI/CD pipeline.
Build, ship, and run containers. Dockerfile best practices, multi-stage builds, volumes, networking, and container security essentials.
Orchestrate containers at scale. Pods, deployments, services, ingress, RBAC, autoscaling, and production troubleshooting patterns.
Package and manage Kubernetes applications with Helm charts. Templating, values, hooks, chart libraries, and release lifecycle management.
Automate builds, tests, and deployments with GitHub Actions. YAML workflows, secrets management, OIDC, reusable workflows, and AKS deployments.
Provision and manage cloud infrastructure as code. State management, modules, workspaces, Azure provider, and CI/CD-integrated deployments.
Understand the Azure platform: resource hierarchy, subscriptions, IAM, ARM, billing, and the core services DevOps engineers depend on daily.
Build a complete observability stack. Prometheus metrics collection, PromQL queries, Alertmanager, and Grafana dashboards for production systems.
Adopt SRE principles: SLIs, SLOs, error budgets, incident response, blameless postmortems, and chaos engineering for production reliability.
Build a GitHub Actions pipeline that builds a Docker image, scans it, pushes to ACR, and deploys to AKS with a rolling update — all on every pull request merge.
Define an entire Azure environment (VNet, AKS, Key Vault, Storage) in Terraform, commit it to GitHub, and let a pipeline apply it automatically on every merge to main.
Deploy Prometheus and Grafana on Kubernetes, configure exporters for your application, build dashboards for p95 latency and error rates, and set up PagerDuty-connected alerts.