Career Roadmap

DevOps logo DevOps Development

DevOps is the practice of bringing development and operations together so software ships faster and breaks less. This roadmap walks you from Linux and networking fundamentals through scripting, containers, and CI/CD, into orchestration, infrastructure as code, cloud platforms, observability, and the security practices real DevOps jobs expect.

Core Practices CI/CD, IaC, Monitoring
Term Coined 2009
Standards Body CNCF
Type Infrastructure / Release Eng.

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

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 Foundation: LFCS 1 project 40 – 60 hrs
Steps
STEP 1
Linux logo

Linux & Networking Basics

Command line, file systems, permissions, and the core networking concepts everything else on this page builds on.

Documentation
STEP 2
Git logo

Version Control (Git)

Branching, merging, pull requests, and collaborating on code through GitHub or GitLab.

Documentation
STEP 3
Bash logo

Scripting (Bash & Python)

Automate repetitive tasks — the backbone of every DevOps workflow.

Documentation
STEP 4
Docker logo

Containers (Docker)

Package applications with their dependencies so they run the same everywhere.

Documentation
Practice Exam
Projects
Certifications
Certification to target
Linux Foundation: LFCS (Certified System Administrator)

Covers Linux administration, scripting, and basic containerization — a solid check on steps 1 – 4 of this roadmap.

Learn more

Community & Support

Where to ask when a step doesn't click

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

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