What Is A DevOps Engineer? Skills And How To Become One

DevOps has appeared in software development lately, connecting both development and operations teams to create a smooth, responsive workflow. That boosts the demand for DevOps engineers in software development projects. So what is a DevOps engineer, and what do they do? Keep reading, and this article will help you discover the skills needed and how to become a DevOps engineer. 

What Is A DevOps Engineer?

Based on the definition of DevOps, many people think that a DevOps engineer is someone bridging software development and IT operations to help both sides work together effectively. That definition is technically correct, but not detailed enough to describe the real role of a DevOps engineer. 

In practice, a DevOps engineer is responsible for ensuring code moves smoothly from idea to production without breaking things along the way. To do that well, they don’t just write automation scripts to streamline operations, but also design systems, build CI/CD pipelines, containerize apps, manage servers, and even create processes that let teams release updates frequently without chaos.

That said, the role can look slightly different, depending on the company. Some focus more on cloud infrastructure, while others work mainly on automation or CI/CD pipelines.

Why Modern Software Teams Need DevOps Engineers

Modern software teams are now demanding skilled DevOps engineers. Why? This trend is fuelled by the following reasons:

• Faster release cycles create more operational complexity

Many software teams are under pressure of delivering software or updates faster without breaking quality. However, releasing software isn’t simple as said, especially if teams plan to deliver multiple releases a day. It’s because each update requires build, test, deployment, and maintenance, which translates to the seamless collaboration between different roles. 

But how can teams ensure different roles work well together to handle bugs or unexpected issues in each update? DevOps engineers are the key in this case. They manage this complexity by building automated pipelines and safeguards, so teams can move fast without constantly putting out fires.

• Cloud infrastructure makes delivery more dynamic

With cloud platforms, infrastructure is no longer static. Instead, it scales up, down, and sometimes sideways depending on demand. While that flexibility is powerful, it also makes environments harder to manage manually. So, DevOps engineers step in to automate provisioning, manage configurations, and ensure everything stays consistent across environments.

• Teams need reliability, automation, and shared ownership

Modern teams can’t afford the old “dev builds, ops fixes” mindset anymore. Everyone needs to share responsibility for performance and uptime. Therefore, teams need DevOps engineers to encourage this shift. These engineers accordingly introduce automation, improve visibility, and create workflows where development and operations actually collaborate, but not clash.

What Does A DevOps Engineer Actually Do?

So, what does a DevOps engineer often do in a software team? Different companies will have different requirements for their DevOps engineers. But their work still revolves around the following core tasks: 

• Build and maintain CI/CD pipelines

DevOps engineers design pipelines that automatically build, test, and deploy code by using tools like Bitbucket Pipelines or GitHub Actions. Instead of manual releases, these pipelines handle everything in a consistent flow to let the code be integrated, tested, and deployed securely and continuously right after it’s written. 

• Manage infrastructure and cloud environments

They set up and manage servers, databases, and cloud resources, often using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. This helps keep environments consistent, scalable, and easy to reproduce. Thus, what works well in staging can still work well in production.

• Automate deployments and operational workflows

DevOps engineers reduce manual effort on repetitive tasks, like deploying applications, scaling services, or handling routine maintenance. For this reason, teams can focus on building features and more strategic tasks instead.

• Monitor systems, logs, incidents, and reliability

Once systems are live, DevOps engineers need to monitor performance, track logs, and respond to incidents immediately by using tools like Datadog, Prometheus, and Grafana. This helps them gather feedback and data for development and operations teams to improve software or release updates in a way that meets customer needs.

• Support security, compliance, and team collaboration

DevOps engineers also help teams collaborate better by improving visibility, sharing responsibility, and aligning development with operations. Further, they support security teams to keep updates secure and compliant with business requirements and industry standards. 

Top DevOps Engineer Skills

DevOps engineers are in high demand, but it’s not always easy for companies to find the right ones. According to Statista, around 10.9% of employers struggle to recruit DevOps engineers, mainly due to the lack of well-rounded, job-ready skills. 

That gap says a lot. It’s not enough to understand DevOps in theory, and you need a mix of technical depth and collaboration ability to actually thrive in the role. So if you’re aiming to become a DevOps engineer (or stay competitive), focus on the right skill set as follows.

Communication And Collaboration

A DevOps engineer needs to work well with both development and operations teams to streamline a smooth workflow from building code to deploying, running, and maintaining updates. And that requires strong communication skills. 

More particularly, those skills allow you to translate technical requirements between teams, align expectations, and ensure shared responsibilities. It also helps when things go wrong. Instead of finger-pointing, a DevOps engineer helps teams troubleshoot together and keeps everyone focused on solutions.

System Administration And Infrastructure Management

DevOps engineers need to understand systems clearly, including servers, networks, storage, and all the underlying pieces that keep applications running. Without that foundation, they struggle to automate or optimize anything in a meaningful way.

That’s why, as a DevOps engineer, you need strong skills in system administration and infrastructure management. With those skills, you can set up, configure, and maintain a stable and scalable infrastructure. Furthermore, you’ll know how to troubleshoot performance issues, manage resources efficiently, and ensure systems don’t break under heavy load. 

Configuration Management

This skill allows DevOps engineers to standardize and control system configurations using tools and automation. Instead of manually setting up different environments and hoping they match, you define them in code. 

This ensures consistent settings across development, testing, and production to help what works in testing still work in production. Besides, with consistent configurations, you can reduce bugs and make deployments more predictable.  

Containers, CI/CD, And Automation

Automation is the backbone of DevOps. So DevOps engineers need to work well with automation tools, build automated CI/CD pipelines, and package apps into containers. 

For this reason, they can ensure code gets tested, integrated, and deployed with minimal human intervention, hence streamlining the entire release process. At a team level, this skill of DevOps engineers helps speed up feedback loops, reduce errors, and release updates more frequently and confidently. 

Cloud Infrastructure And Provisioning

Most modern applications run in the cloud, which changes how infrastructure is managed. So, instead of static servers, you need to get skills to deal with dynamic, on-demand resources that can scale up or down at any time.

With cloud and provisioning expertise, you can design and provision infrastructure efficiently using tools and scripts. Accordingly, you focus on building flexible environments that adapt to real usage. This helps teams reduce costs, improve scalability, and ensure applications work well even under changing conditions.

Coding And Scripting

The final skill you need to master as a DevOps engineer is coding. You don’t need to be a full-time software developer, but coding is still a key part of DevOps. Why? Automation doesn’t happen on its own, but DevOps engineers have to write automated scripts using languages like Bash or Python.

With coding and scripting skills, a DevOps engineer can automate repetitive tasks, whether it’s handling deployments, connecting systems, or debugging pipeline issues. For this reason, you can solve problems quickly, reduce manual work, and ensure a smoother development process.

How To Become A DevOps Engineer: DevOps Engineer Roadmap

Do you want to start the journey of becoming a DevOps engineer but don’t know where to start? You’re not alone. Many struggle on this path because DevOps involves so many different areas. 

The good news is, you don’t have to learn everything at once, but can enter this DevOps realm step by step and build skills over time. Below is a roadmap that guides you on this journey more seamlessly:

Start With Linux, Networking, And System Fundamentals

Before learning any tools, you have to understand the basics first. Most DevOps environments run on Linux, so getting comfortable with the command line, file systems, permissions, and processes is a solid first step. 

Besides, you need to understand networking-related concepts like IP addresses, DNS, ports, and load balancing because they explain how applications communicate. Such knowledge lays a foundation for you to troubleshoot issues more confidently instead of guessing your way through problems.

Learn Scripting, Automation, And Version Control

Now that you’ve got the basics down, the next step is learning how to automate things. DevOps engineers often use scripting languages like Bash, Python, or Go to handle repetitive tasks, from deployments to system checks. So, you can start with these languages. 

Version control, especially tools like Git, is equally important for not only developers but also DevOps engineers, as they need VC systems to manage infrastructure and configurations. With these skills, you can automate workflows, track changes, and collaborate more effectively with your team.

Build Hands-On Skills In Cloud, CI/CD, And Infrastructure As Code

Modern DevOps relies heavily on cloud platforms. So, after understanding and applying automation, you should move on to cloud infrastructure, CI/CD pipelines, and Infrastructure as Code (IaC). 

More particularly, you need to learn how DevOps works in cloud environments (like Amazon Web Services or Microsoft Azure) and how to set up automated CI/CD pipelines. Besides, you should be familiar with using code on IaC tools (like Terraform or CloudFormation) to define infrastructure and make environments easier to manage and replicate.

Practice With Real Projects And Delivery Pipelines

Once you’ve had the necessary skills, it’s time to experiment with real projects. This helps you truly understand DevOps and identify knowledge gaps you need to fill to advance on the DevOps career path. So, set up a small project and create a delivery pipeline.

Through hands-on practice, you’ll start encountering real-world issues, from failed builds and misconfigurations to unexpected downtime. This helps you not only develop technical skills but also improve problem-solving over time.

Earn Certifications And Build A Portfolio

Certifications aren’t mandatory, but they can help validate your knowledge, especially if you’re transitioning from another role or just starting out. Certifications from cloud providers or DevOps tools show employers that you’ve at least covered the fundamentals.

Additionally, you need a strong portfolio as well. That portfolio documents your projects, shares your pipelines, and explains how you solved problems. It tells a more honest story of your capacity.

Grow Into Senior DevOps, SRE, Or Cloud Engineer Roles

As you gain experience, your career path can branch out in different directions. Some DevOps engineers move toward Site Reliability Engineering (SRE), focusing more on system reliability and performance. Meanwhile, others specialize in cloud architecture or platform engineering.

At this stage, you don’t just focus on learning individual tools but learn about designing systems at scale instead. Accordingly, you need to think about trade-offs, reliability, cost, and team workflows in a deeper way. 

DevOps Engineer Vs Cloud Engineer Vs SRE

We already mentioned different career paths after junior DevOps roles in the previous section. So now you might be wondering, “Is there actually a difference between these roles?” The answer is yes, although the boundaries between them sometimes blur in real teams. Now, let’s see how they differ and overlap to decide where you might fit best:

DevOps Engineer Vs Cloud Engineer

A DevOps engineer is mainly responsible for building and improving the software delivery process (normally through automated CI/CD pipelines) to ensure code flows efficiently from build to production. Meanwhile, a cloud engineer focuses more on designing and managing the cloud infrastructure itself. 

They both need strong coding/scripting skills and knowledge of cloud platforms. But these roles are still different in the following aspects:

Aspect	DevOps Engineer	Cloud Engineer
Primary Focus	Delivery pipelines & automation	Cloud infrastructure & architecture
Daily Work	CI/CD, monitoring, automation	Provisioning, scaling, cloud services
Tools	Jenkins, GitHub Actions, Docker	AWS, Azure, GCP, Terraform
Goal	Faster, reliable releases	Scalable, efficient infrastructure
Perspective	Process-oriented	Infrastructure-oriented

If you enjoy improving workflows, automating releases, and working across teams, DevOps might suit you better. But in case you’re more into cloud architecture, system design, and infrastructure at scale, then choose cloud engineering.

DevOps Engineer Vs Site Reliability Engineer

DevOps engineers and Site Reliability Engineers (SREs) look very similar on the surface, and in real life, many companies use the terms interchangeably. But traditionally, SREs focus more deeply on system reliability, performance, and uptime, often with a stronger emphasis on metrics and SLAs.

Aspect	DevOps Engineer	Site Reliability Engineer
Primary Focus	Delivery pipelines & automation	Reliability & system performance
Approach	Enable faster releases	Ensure systems stay stable
Key Metrics	Deployment frequency, speed	Uptime, latency, error rates
Working Style	Broad across pipeline	Deep in production systems
Mindset	Collaboration & flow from code to production	Reliability-first engineering

If you aim to build pipelines and improve team workflows, moving forward to senior DevOps is a good path. But SRE is a better choice if you prefer debugging complex systems and optimizing performance to ensure the reliability of systems.

Where These Roles Overlap

These roles aim for different purposes, but in reality, they still share several similar responsibilities:

• All three work with cloud infrastructure and distributed systems
• Automation and scripting are crucial in those roles
• They all take a shared responsibility of monitoring, logging, and incident response
• DevOps engineers and SREs often stay focused on CI/CD pipelines 
• They all need strong collaboration with development teams

In real situations, many companies don’t strictly separate these roles. A single DevOps engineer might handle cloud provisioning, CI/CD pipelines, and even reliability tasks. Especially in startups or smaller teams, hiring three separate specialists isn’t always practical and may increase unnecessary labor costs.

That said, larger organizations still tend to define these roles more clearly. You might see dedicated SRE teams focusing purely on uptime, while cloud engineers handle infrastructure at scale, and DevOps engineers focus on delivery pipelines.

FAQs About DevOps Engineers

What Does A DevOps Engineer Do?

A DevOps engineer works to make software delivery faster, smoother, and more reliable. Further, they connect different roles – mainly development and operations staff – to help them collaborate better instead of working separately. Accordingly, their key responsibilities involve:

• Build CI/CD pipelines
• Writing automated scripts to automate deployments
• Containerizing apps in packages for reuse
• Managing cloud infrastructure
• Monitoring systems for performance or failures

What Should I Study To Become A DevOps Engineer?

DevOps itself involves so many different areas. So to become a DevOps engineer, there’s a lot to study, including:

• The fundamentals of operating systems (typically Linux), database technologies, networking, servers, and cloud platforms
• Scripting languages (Python, Bash, Go) and concepts like CI/CD or Infrastructure as Code
• Common DevOps tools for version control (Git), containerization (Docker, Kubernetes), configuration management (Puppet, Ansible), CI/CD automation (Jenkins, GitLab CI/CD), and monitoring and observability (Prometheus, Grafana)

To facilitate your study, you should start with the basics, build small projects to get hands-on skills, and gradually expand your skillset as you go.

Does DevOps Require Coding?

Yes, but not in a way a full-time software developer does. Coding in DevOps refers to writing automated scripts in Python, Bash, etc. to automate tasks, manage infrastructure, and connect different tools together.  

Is DevOps Engineering A High-Paying Career?

Yes, in most markets, DevOps engineering is considered a high-paying role. For example, the average salary of a DevOps engineer in the United States is $129,719 per year. This number can vary depending on experience, location, and company size. But generally, the demand for this role is strong, leading to the high pay for it. 

Is AI Replacing DevOps Engineers?

Not really, but it’s changing how they work. AI and automation tools can handle repetitive tasks like monitoring alerts, analyzing logs, or even suggesting fixes. That can make DevOps workflows more efficient.

But DevOps isn’t just about executing tasks. It involves decision-making, system design, trade-offs, and collaboration across teams. In these areas, human judgment still matters a lot. So instead of replacing DevOps engineers, AI is more likely to support their work.