What skills does a DevOps Engineer need?
The foundation behind three closely related infrastructure careers
Software used to break at the wall between the people who built it and the people who ran it: developers shipped code, then threw it over to operations to deal with the fallout. DevOps exists to close that gap. It's a mindset and a set of practices — automation, continuous integration, infrastructure as code, monitoring — that let teams ship changes in minutes instead of weeks, catch problems before customers do, and recover fast when something does go wrong. That's why it's not a niche specialism anymore; it's the operating model behind almost every modern engineering org, from five-person startups to banks and airlines running thousands of deployments a day.
That's also why it remains one of the highest-demand, best-paid entry points into tech infrastructure, and one that branches into several related careers. A DevOps Engineer builds and maintains CI/CD pipelines, automates infrastructure, and keeps deployments fast and reliable. A Site Reliability Engineer (SRE) focuses on uptime, observability, and incident response for large-scale systems. A Platform / Cloud Engineer designs the underlying cloud infrastructure and internal developer platforms other teams build on. Whichever direction you lean toward, the roadmap below covers the shared foundation all three roles are built on.
Choosing a Cloud Provider
Console differs, the Linux/Docker/CI fundamentals below don't
AWS
The most widely used provider, with the largest job market and service catalog — the safest starting point.
Azure
Common in enterprises already invested in Microsoft's ecosystem — .NET shops especially.
Google Cloud
Strong for Kubernetes-native workloads and data/ML-heavy platforms — GKE originated here.
DigitalOcean
A simpler, cheaper sandbox to practice on before tackling a hyperscaler's full console.
Getting Started
You don't need a company AWS account to start practicing
The lowest-friction option is an in-browser sandbox like Katacoda-style labs or Play with Docker (free, already set up) — run real Linux commands, spin up containers, and experiment with a cluster with zero local install.
When you're ready for a proper local workflow, install VS Code (free), Docker Desktop (or Docker Engine on Linux/WSL2), and a lightweight local Kubernetes cluster like Minikube or kind — the environment steps 4-6 of this roadmap assume.
For cloud steps, every major provider offers a free tier — AWS Free Tier, Azure's free credits, and Google Cloud's free tier are all enough to work through this entire roadmap without a paid account, as long as you tear resources down when you're done.
Quick intro — what is DevOps?
A quick primer before you start the roadmap. Opens in a small player, no need to leave the page.
The DevOps Roadmap
Pick a level — each one includes everything from the levels before it
Steps 1 – 4: Linux, version control, scripting, and containers
Linux & Networking Basics
Command line, file systems, permissions, and the core networking concepts everything else on this page builds on.
Version Control (Git)
Branching, merging, pull requests, and collaborating on code through GitHub or GitLab.
Scripting (Bash & Python)
Automate repetitive tasks — the backbone of every DevOps workflow.
Containers (Docker)
Package applications with their dependencies so they run the same everywhere.
CI/CD Pipelines
Automate build, test, and deploy with tools like GitHub Actions, GitLab CI, and Jenkins.
Orchestration (Kubernetes)
Deploy, scale, and manage containers in production — the industry standard for orchestration.
Infrastructure as Code
Define and version your infrastructure as code instead of clicking through consoles.
Cloud Platforms (AWS / Azure / GCP)
Core services — compute, storage, networking, IAM — on at least one major cloud provider.
Observability & Monitoring
Prometheus, Grafana, and logging — know when something breaks before your users do.
Security (DevSecOps)
Bake security scanning and secret management directly into the pipeline.
Dockerized Microservice App
Spin up a multi-container app with Docker Compose, then containerize a small service of your own, matching steps 1 – 4.
CI/CD Pipeline with GitHub Actions
Fork a starter workflow and build an automated pipeline that lints, tests, and deploys on every push.
Kubernetes Deployment Playground
Deploy sample manifests to a local cluster, then scale, roll back, and manage config the way teams do in production.
Terraform Cloud Infrastructure
Write a Terraform config to provision and version real cloud infrastructure instead of clicking through a console.
Linux Foundation: LFCS (Certified System Administrator)
Covers Linux administration, scripting, and basic containerization — a solid check on steps 1 – 4 of this roadmap.
Learn moreCNCF: Certified Kubernetes Administrator (CKA)
A hands-on exam covering cluster administration, workloads, and troubleshooting — a natural checkpoint after steps 1 – 7, once CI/CD, orchestration, and IaC are in place.
Learn moreAWS Certified DevOps Engineer – Professional
A professional-level exam covering CI/CD, IaC, monitoring, and incident response on AWS — matching the full roadmap, steps 1 – 10.
Learn moreCommunity & Support
Where to ask when a step doesn't click
Stack Overflow
Best for specific, well-defined technical questions with searchable, vetted answers.
r/devops
Casual, active discussion on tooling, career paths, and getting started, aimed at working engineers.
CNCF Slack
Direct access to maintainers and practitioners across the Kubernetes and cloud-native ecosystem.
HashiCorp Discuss
Community forum for Terraform, Vault, and other infrastructure tooling questions.
Frequently Asked Questions
Common questions from people starting out with DevOps
Is DevOps hard to learn?
The individual tools — Git, Docker, a CI/CD pipeline — are each picked up fairly quickly on their own. What takes longer is the breadth: DevOps touches Linux, networking, scripting, cloud, and security all at once, so most of the learning curve is building intuition for how those pieces fit together in a real pipeline.
Do I need to know a specific cloud provider, or is Linux enough to start?
Linux, Git, and scripting are the real prerequisites and transfer everywhere. Cloud-specific knowledge (AWS, Azure, GCP) matters for landing a job, but the underlying concepts — compute, storage, networking, IAM — are similar across providers, so pick one free tier and go deep rather than spreading thin across all three early on.
DevOps vs. SRE vs. Platform Engineering — what's the difference?
DevOps is broadly about automating the path from code to production. SRE (Site Reliability Engineering) applies software engineering rigor specifically to uptime and incident response, often with defined error budgets. Platform Engineering focuses on building the internal tooling and self-service infrastructure other engineers use. The tool stacks overlap heavily; the emphasis differs.
Do I need a computer science degree to become a DevOps engineer?
No. Many DevOps engineers move over from sysadmin or backend roles rather than starting with a CS degree. A working pipeline you've built yourself — even a small one on GitHub — plus a recognized certification usually carries more weight with employers than a specific degree.
How do I prepare for a DevOps interview?
Be fluent with core Linux commands and troubleshooting, writing a Dockerfile from scratch, explaining how a CI/CD pipeline is triggered and gated, and reasoning through basic Kubernetes objects (pods, deployments, services). Be ready to talk through a real incident — what broke, how you found it, and what you changed to prevent it happening again.
Track complete
From a Linux terminal to a monitored, security-checked deployment pipeline running on cloud infrastructure you defined as code — that's the core of what employers expect from a DevOps engineer. Push what you build to GitHub so it's visible to employers, then keep going — DevOps is learned by shipping, not just reading.
Where next?
Keep exploring by domain or drill into a single skill