How to Become a DevOps Engineer

Quick answer: To become a DevOps engineer, build solid Linux and scripting fundamentals, get hands-on with one cloud platform, and learn the core automation toolchain (CI/CD, containers, and infrastructure as code). Then prove it with two or three portfolio projects that take code from commit to deployment to monitoring. There is no single fixed route, and most people arrive from sysadmin, development, or support roles rather than from a bootcamp alone.

What a DevOps engineer actually does

DevOps is a culture and set of practices before it is a job title, so the day-to-day work varies between teams. In general, a DevOps engineer keeps software delivery moving: they build and maintain the pipelines that test and deploy code, reduce manual and repetitive work through automation, and help developers ship changes without causing outages. When a deployment breaks or a pipeline stalls, they are often the ones who diagnose and fix it.

A realistic day might include reviewing a failed build, tuning a deployment so it rolls out more safely, writing a script to remove a manual step someone repeats every week, and investigating why a service slowed down overnight. Some of the work is planned improvement and some is reactive troubleshooting, so comfort with ambiguity matters. The role sits between development and operations, which is where its name comes from. That means you need to understand how an application behaves once it is running in production, not just how it is written. If you want the fuller philosophy behind the practice, our explainer on what DevOps is is a good starting point before you commit to the career.

The skills you need, in order

The most common mistake is trying to learn everything at once. A more reliable approach is to build three layers of ability in sequence, so each new skill has something to stand on. The table below is a rough map, not a rigid syllabus, but the ordering holds up well in practice.

Under the hood, the through-line is automation. You should be comfortable on the command line, able to write scripts that remove toil, and able to describe infrastructure in code rather than clicking through consoles. If Linux still feels shaky, spending time with the Linux commands every sysadmin should know will pay off quickly, because those same commands appear constantly inside pipelines and containers.

A step-by-step path

1. Get fluent on Linux and the command line. Install a Linux distribution, live in the terminal, and learn to manage files, permissions, processes, and services. Practise until commands like ssh, systemctl, and grep feel natural.
2. Learn version control and one scripting language. Use git for everything, and write Python or Bash scripts to automate small chores. This habit of automating repetitive work is the core mindset of the job.
3. Pick one cloud provider and go deep. Create a free-tier account and build things: a virtual machine, a network, a managed database. Cloud and DevOps overlap heavily, and reading how to become a cloud engineer will show you where the two paths meet.
4. Learn containers, then orchestration. Package an app with docker build, run it locally, then learn how Kubernetes schedules and heals containers at scale.
5. Adopt infrastructure as code. Use Terraform to create and change resources through configuration files instead of manual clicks. Our guide to infrastructure as code explains why this practice matters so much.
6. Build a real CI/CD pipeline. Wire up a repository so a code push automatically runs tests and deploys. This single project demonstrates most of what employers screen for.

Do not wait until you feel fully ready before building. The fastest learners treat each step as an excuse to make something small and real, then break it and fix it. A tutorial you follow passively fades within days; a broken deployment you personally repaired at midnight stays with you.

The DevOps mindset and soft skills

DevOps grew out of frustration with the wall between developers who wanted to ship and operators who wanted stability. Because of that origin, the role is unusually people-focused for a technical job. You will spend real time reducing friction between teams, advocating for automation, and helping others adopt safer practices. Communication, patience, and a bias toward removing blame from failures are genuine job skills here, not soft extras.

A healthy DevOps culture treats outages as learning opportunities rather than reasons to punish someone, and it favours small, frequent, reversible changes over large risky ones. If you can explain trade-offs clearly and help a nervous team ship more confidently, you become far more valuable than someone who only knows tools. This is also why the field pairs so naturally with continuous learning: the tools change constantly, but the underlying habits of automating toil, measuring what matters, and communicating clearly stay useful no matter which platform your employer chooses next.

Useful certifications

Certifications will not replace hands-on skill, but they signal commitment and give you a structured syllabus to follow. Choose ones that match the cloud you are learning rather than collecting badges.

• Cloud fundamentals such as AWS Certified Cloud Practitioner or Azure Fundamentals (AZ-900) are gentle entry points that prove baseline literacy.
• DevOps-specific credentials like the AWS Certified DevOps Engineer or the Azure DevOps Engineer Expert go deeper, though they suit people with some experience already.
• Kubernetes is worth validating as containers become central to the role. Whether the CKA certification is worth it for a DevOps team depends on how much you work with Kubernetes day to day.

Whichever you choose, treat the exam as a milestone inside a project-based study plan, not as the goal itself. An interviewer will quickly tell the difference between someone who memorised answers and someone who has actually deployed the thing.

Building a portfolio and experience

Since you often cannot get experience without a job and cannot get the job without experience, a portfolio is how you break the loop. Aim for two or three projects that each tell a complete story from code to deployment to monitoring. Strong examples include a small web app deployed automatically through a CI/CD pipeline, an environment fully provisioned with Terraform, and a containerised service running on Kubernetes with basic dashboards and alerts.

Publish everything to a public Git repository with a clear README that explains what the project does, why you built it, and what you learned. Screenshots of a working pipeline and a short note on a problem you solved make your work tangible to a reviewer skimming quickly. Contributing to open-source tooling, writing short posts about problems you solved, and helping automate tasks in a current job all count as real experience. If you already work in IT, look for repetitive manual tasks around you and automate one; that story alone can carry an interview. When you are ready to apply, framing this work well matters, so it is worth learning how to translate projects into a resume even when your title is not yet DevOps.

Common mistakes to avoid

• Tool-collecting instead of skill-building. Knowing the names of fifty tools is less valuable than genuinely understanding a handful and how they fit together.
• Skipping Linux and networking. These fundamentals underpin everything; weak foundations show up fast under pressure.
• Watching tutorials without building. Passive learning feels productive but sticks poorly. Break things in your own projects and fix them.
• Ignoring the culture. DevOps is as much about collaboration, communication, and reducing friction between teams as it is about tooling.
• Expecting a fixed salary or timeline. Compensation and demand vary by region, experience, and employer. Treat pay ranges as rough context, and see our overview of DevOps engineer salary factors rather than a promise.

Is DevOps right for you?

DevOps rewards people who enjoy automating tedious work, who are curious about how systems fail, and who like collaborating across teams rather than working in isolation. It is a broad, evolving field, and newer expectations such as using AI to assist monitoring and incident response are becoming part of the job rather than a specialty. That breadth is a feature: few roles let you touch code, infrastructure, security, and process all in one week. It can also feel overwhelming at first, which is exactly why the layered, one-thing-at-a-time approach works. If that mix of coding, operations, and problem-solving appeals to you, the path is demanding but very learnable. Start with Linux and one cloud, automate something small this week, and build from there. Progress in DevOps comes from consistent hands-on practice, not from any single course or certificate.