Top Skills for DevOps Engineer IT Career Center

Development skills include understanding project requirements; writing, reviewing and validating code; fixing bugs; managing CI/CD tools and pipelines; performing root cause analysis, troubleshooting and incident management. Infrastructure skills include implementing tools and infrastructure; building automated processes; and developing security measures through vulnerability assessment and risk management practices. It is also important that DevOps technicians are knowledgeable of DevOps tools like GitHub and software development practices such as continuous delivery. Understanding of the agile methodology and framework, Infrastructure as Code (IAC) and provisioning are very helpful to DevOps professionals. Also, having knowledge of workflow operating systems and the project management lifecycle are also musts for DevOps engineers. Continuous integration is when multiple developers’ codes are merged into one main software project — which allows for constant updates and revisions to code without teams having to start from square one.

The list of requisite DevOps engineer skills is lengthy, and even more are necessary to master the role. While specific requirements vary between organizations, here are 10 common skill areas — ranging from highly technical abilities to soft people skills — that employers look for in a DevOps engineer. A career as a DevOps engineer might appeal to you if you have technical hard skills in various platforms as well as soft skills, such as effective and timely communication. Soft skills play a great role in the IT industry with the adoption of DevOps methodology.

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Explore the essential differences between Business Intelligence and Business Analytics. Discover how they can drive your business’s growth, decision-making, and competitive edge in our easy-to-understand guide. Configuration management is used to keep track of software and operating system configurations. It also helps to manage configurations across thousands of servers. It is done through a click of a button or the execution of a single command on the management server.

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  • This could involve adding users to a cloud infrastructure, adding permissions, changing processes, or other tasks expected to meet business prerequisites.
  • The DevOps engineer provides the things to facilitate the releases on the operational side, which means they need skills in the realm of IT infrastructure and hardware, from servers and storage to OSes and networks.
  • A gen AI copilot can also help identify root causes of truck breakdowns and recommend resolutions much more quickly than usual, as well as act as an ongoing source for best practices or standard operating procedures.

Some of the DevOps skills we’ve listed may be performed by other roles. For instance, a system administrator might be responsible for configuration management. DevOps 2.0’s main objective is to break devops engineer how to become down silos and create collaboration among technical and non-technical members of an organization that are involved in the SDLC. As a result, the teams release even better-quality software faster.

DevOps Engineers Within a Company

Together with designing the end-user interface and the complex systems and databases that operate it, they can work independently to design, create, and develop a whole working web application. Getting to scale means that businesses will need to stop building one-off solutions that are hard to use for other similar use cases. One global energy and materials company, for example, has established ease of reuse as a key requirement for all gen AI models, and has found in early iterations that 50 to 60 percent of its components can be reused. This means setting standards for developing gen AI assets (for example, prompts and context) that can be easily reused for other cases. The broad excitement around gen AI and its relative ease of use has led to a burst of experimentation across organizations. Most of these initiatives, however, won’t generate a competitive advantage.

In many cases, these are skills that you can train your existing workforce to develop. Those with existing AI and machine learning (ML) capabilities have a strong head start. QuantumBlack, McKinsey’s AI arm, helps companies transform using the power of technology, technical expertise, and industry experts. QuantumBlack Labs is our center of technology development and client innovation, which has been driving cutting-edge advancements and developments in AI through locations across the globe. Beyond “soft” skills, DevOps engineers also need to be proficient in monitoring production environments and performance measurements, as well as security and cloud administration.

Important Skills for Entry-Level DevOps Engineers

DevOps automation skills are closely tied to knowledge about DevOps toolset and programming. To be successful in DevOps, fluency in automation is a must as it is the core of DevOps. DevOps engineers should be able to automate the entire process, including CI/CD cycles and app performance monitoring, infrastructure, configurations, and other tasks.

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