DevOps Engineers: The Key to High-Performing IT Teams

The traditional software development process was plagued by silos and dysfunction. Developers worked in isolation, "throwing code over the wall" to Operations to deploy and manage in production. Miscommunication and lack of shared priorities meant deployments were infrequent, manual, and error-prone. Infrastructure was brittle and hard to scale. When issues inevitably occurred, it was difficult to pinpoint the cause, leading to prolonged outages and unhappy customers.

DevOps emerged as the antidote to this dysfunction, promising to unify development and operations teams and enable faster, more reliable software delivery. By fostering a culture of collaboration and shared responsibility, automating manual tasks, and leveraging cutting-edge tools and processes, DevOps helps organizations innovate faster and respond to market changes with agility.

The proof is in the data. High-performing DevOps teams deploy code 46x more frequently, have 2,555x shorter lead times, and recover from failures 96x faster than low performers, according to the 2019 Accelerate State of DevOps Report. With results like that, it‘s no wonder DevOps adoption has skyrocketed, from 10% of organizations in 2017 to 17% in 2018 to 27% in 2020, according to the Puppet State of DevOps Report.

But implementing DevOps is easier said than done. Bridging the divide between traditionally siloed teams and modernizing entrenched processes and legacy systems requires significant culture change, technical acumen, and business savvy. That‘s where DevOps engineers come in. Part developer, part sysadmin, part coach and advocate, these versatile professionals work across the software development lifecycle to optimize processes, tools, and infrastructure for continuous value delivery.

In this guide, we‘ll dive deep into the DevOps engineer role, exploring typical responsibilities, key skills, challenges and rewards of the job, and how you can get started on this high-demand career path. Whether you‘re a sysadmin looking to level up, a developer curious about the ops side, or simply fascinated by the art of maximizing IT performance, read on to learn how DevOps engineers help their teams thrive in today‘s software-driven world.

What Does a DevOps Engineer Do?

A DevOps engineer wears many hats, but their core mission is to eliminate barriers between development and operations so software can move from ideation to deployment as quickly and smoothly as possible. Typical responsibilities include:

Designing and Implementing CI/CD Pipelines

Continuous integration (CI) and continuous delivery (CD) form the backbone of the DevOps development model. With CI, developers integrate code changes to a central repository frequently (at least daily). Each change triggers an automated build and test sequence to catch bugs early. CD takes the verified code packages and deploys them automatically to staging and eventually to production. Together, CI/CD allows teams to safely deploy code changes to users multiple times per day.

DevOps engineers design and implement the CI/CD pipelines that make this rapid delivery cadence possible. Using tools like Jenkins, CircleCI, AWS CodePipeline, or GitLab, they automate build, test, and deployment workflows, often leveraging containers and orchestration platforms like Docker and Kubernetes to streamline the process.

An effective CI/CD strategy requires thoughtful planning and ongoing optimization. DevOps engineers must collaborate closely with developers to define testing and release strategies, choose the right tools for their needs, and bake in security and compliance from the start (shifting left). They also need to strike the right balance between velocity and reliability – it‘s better to deploy fewer, well-tested changes than to blindly automate for speed alone.

Infrastructure Provisioning and Management

DevOps engineers are also responsible for provisioning and maintaining the cloud infrastructure that hosts their organization‘s apps and services. Using infrastructure-as-code (IaC) tools like Terraform, AWS CloudFormation, Pulumi or Ansible, they define infrastructure resources and configurations in a high-level language, and codify them in version control. This allows infrastructure to be provisioned and updated automatically and consistently, with minimal human intervention.

IaC brings the same benefits of agility, scalability, and repeatability to infrastructure that CI/CD brings to application code. Rather than filing tickets and waiting days for ops to manually configure a server, developers can provision environments on-demand in minutes. Infrastructure becomes testable and self-documenting. Disaster recovery is faster when new infrastructure can be spun up automatically from code.

However, realizing the full potential of IaC requires DevOps engineers to proactively manage infrastructure definitions, test changes thoroughly, and put guardrails in place to prevent mistakes or misconfigurations that could put the organization at risk. They also need to keep an eye on costs, identifying underutilized or orphaned resources and using tools like AWS Trusted Advisor to optimize spend.

Automating Builds, Tests, and Deployments

DevOps engineers look for every opportunity to automate away toil and manual labor. In addition to CI/CD and IaC, they write scripts and leverage tools to automate repetitive operational tasks like builds, backups, scaling events, and rollbacks. The more DevOps engineers can automate, the more they free up developers to focus on writing code that delivers business value.

Automation is a key driver of DevOps success. Organizations with high levels of automation are 1.5 times more likely to achieve their goals in deploying quickly, avoiding downtime, and meeting compliance and security requirements, according to the 2020 Puppet State of DevOps Report.

But automation isn‘t a silver bullet. DevOps engineers need to think carefully about what to automate vs. what to leave to human judgment. Overautomation can lead to complacency and lack of understanding about what‘s actually happening under the hood. A thoughtful DevOps engineer automates the repetitive and mundane, but ensures there are still opportunities for human intervention and oversight, especially for higher-risk changes.

Monitoring Applications and Infrastructure

Even the most perfect code will fail at some point when it meets the real world. DevOps engineers instrument and monitor applications and infrastructure proactively to detect issues before they impact users. Using tools like Prometheus, Grafana, Datadog, and Splunk, they collect and analyze metrics, logs, and traces across the stack to gain end-to-end visibility.

Distinguishing signal from noise is critical to effective monitoring. DevOps engineers work with developers and product owners to define key performance indicators (KPIs) and service level objectives (SLOs) – measurable, business-relevant goals that indicate whether a service is meeting user expectations (e.g. 99.95% uptime, < 200ms latency). They create dashboards that track progress towards these goals and set smart alerting thresholds to proactively notify the team when breaches occur.

Monitoring isn‘t just about firefighting in the moment – it‘s about continually improving system reliability and performance over time. DevOps engineers dig into incident root causes to identify opportunities to improve architecture, automation, or processes. They also leverage techniques like chaos engineering and load testing to proactively surface weaknesses before they cause real-life outages.

Improving Development Processes and Workflows

A DevOps engineer‘s job isn‘t just about tools and tech – it‘s about people and processes too. DevOps engineers act as change agents, challenging the status quo and driving improvements to optimize the end-to-end software delivery lifecycle.

One technique they use is value stream mapping – visually mapping the series of activities required to deliver software, from ideation to operation. By identifying bottlenecks and quantifying wait times and non-value-adding steps, DevOps engineers help their organizations strip out inefficiencies and streamline the development process.

DevOps engineers also champion a culture of continuous experimentation and learning within their teams. They run blameless postmortems to uncover systemic causes of failures and encourage sharing of lessons learned. They set up feedback loops to catch issues early and iterate rapidly based on real-world user feedback. And they‘re always looking for opportunities to leverage new technologies and automation to remove friction and unlock developer productivity.

Collaborating Across Functions

Perhaps most importantly, DevOps engineers are masters of collaboration. They act as the glue between development and operations teams, ensuring both are marching towards shared goals. They run workshops and games to build trust and empathy across functions. They sit in on standups and create cross-functional Slack channels to open up lines of communication. And they automate menial tasks and triage low-level alerts to free up time for higher-order collaboration.

DevOps engineers also act as evangelists and educators, securing leadership buy-in for DevOps initiatives and bringing other teams along in the journey. They draw on their empathy and storytelling skills to persuade colleagues to adopt new tools and ways of working for the greater good of the organization.

According to Google‘s DevOps Research and Assessment, elite performers are 1.7x more likely to have high cooperation between dev and ops teams, and 2.2x more likely to recommend their organization as a great place to work. By fostering a collaborative culture, DevOps engineers don‘t just ship better software – they make their teams happier and more engaged too.

DevOps Engineering Skills

To succeed in the fast-paced and multifaceted world of DevOps, engineers need a unique combination of hard and soft skills:

Technical Skills

Scripting and coding (e.g. Python, Go, Bash, Ruby)
Linux system administration
Cloud platforms (e.g. AWS, Azure, GCP)
Infrastructure-as-code (e.g. Terraform, CloudFormation, Ansible)
Continuous integration and delivery (CI/CD)
Configuration management (e.g. Chef, Puppet, SaltStack)
Containerization and orchestration (e.g. Docker, Kubernetes)
Monitoring and observability (e.g. Prometheus, Grafana, ELK stack)
Databases and data storage (e.g. SQL, NoSQL, Redis, S3)
Networking and security (e.g. DNS, firewalls, encryption)

Soft Skills

Communication and collaboration
Problem solving and creativity
Adaptability and willingness to learn
Systems thinking
Customer empathy and business acumen
Leadership and mentoring

While it may seem an overwhelming list, aspiring DevOps engineers can take heart – most practitioners learn on the job, acquiring skills through experience, experimentation, and a healthy dose of Googling. Many also pursue certifications like AWS Certified DevOps Engineer, GCP Professional Cloud DevOps Engineer, or Certified Kubernetes Administrator to validate and deepen their expertise.

Challenges of DevOps Engineering

For all the benefits DevOps engineers bring to their teams, the role is not without its challenges:

Unrealistic Expectations

DevOps has been hyped as a miracle cure for all of IT‘s ills, but the reality is more nuanced. DevOps engineers often face unrealistic expectations from leadership about how quickly they can "do the DevOps‘‘ and magically fix broken systems. In reality, DevOps transformations are gradual and require ongoing effort to change entrenched cultures and legacy architectures.

Resistance to Change

DevOps represents a major shift from the way IT has traditionally operated, and change is hard. DevOps engineers may face skepticism or pushback from colleagues who are comfortable with the old way of doing things. Overcoming this resistance requires empathy, education, and a willingness to meet people where they are.

Burnout and Alert Fatigue

The always-on, high-stakes nature of DevOps engineering can take a toll. With pagers buzzing and Slack channels blowing up around the clock, it‘s easy for DevOps engineers to burn out. Setting sustainable on-call rotations, investing in automated remediation, and protecting time for deep work and self-care are critical for long-term success in the role.

The Future of DevOps Engineering

As software continues to eat the world, the demand for DevOps engineering expertise will only grow. The U.S. Bureau of Labor Statistics predicts employment for IT professionals to grow 13% from 2020 to 2030, faster than average for all occupations.

But the role of the DevOps engineer is also evolving. As DevOps practices and tools mature and become more widespread, some predict the role will be subsumed into the standard responsibilities of developers and sysadmins. Others see DevOps engineers taking on a more strategic, big-picture role as DevOps evangelists and advisors to leadership.

Regardless, the core skills and principles of DevOps – automation, collaboration, continuous learning – will remain in high demand. Emerging trends like GitOps (defining infrastructure and deployment as code in Git), DevSecOps (integrating security throughout the SDLC), and AIOps (leveraging AI/ML to automate operations) will create opportunities for DevOps engineers to level up their expertise. And as DevOps expands beyond IT to other business functions like marketing and HR, the ability to drive cultural transformation will become just as important as technical chops.

Conclusion

In a world where software is the key differentiator for businesses in every industry, DevOps engineers are the linchpins that enable organizations to innovate at velocity and scale. By automating toil, breaking down silos, and establishing a culture of continuous improvement, these bridge-builders help development and operations teams move forward together to deliver better software, faster.

If you‘re energized by the opportunity to be a force multiplier for your team, thrive in the face of ambiguity, and geek out over making systems run like clockwork, DevOps engineering may be the perfect career path for you. Start small by learning a scripting language or spinning up a test environment in the cloud. Volunteer for a project that involves both dev and ops. Attend a DevOpsDays meetup or join a Reddit thread to learn from other practitioners. Before long, you too could be the superhero helping your organization soar to new heights through the transformative power of DevOps.