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DevOps Engineer Job Description: Skills And Responsibilities

28 Oct 2022

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There are many misconceptions about what a DevOps engineer does. Is he the person in charge of both a System Engineer's duties and the writing of code? Well! The answer is No. Here in this blog, we’ll answer all of your questions about the duties and responsibilities of a DevOps Engineer.

The management of the development, testing, and support processes throughout the life cycle of a software development project led to the evolution of the DevOps methodology. Organizations may handle development, tool deployment, integrated testing, and support in a more quicker and productive way. At the same time, they bring important elements of continuous deployment and integration to the DevOps engineer.

The development and testing departments were operated in isolation from one another, which resulted in process gaps and conflicts between managers of various departments. These obstacles were the main sources of misunderstandings, poor communication, and conflicts over priorities. The development of DevOps as a methodology and a job profile for a DevOps engineer has made significant efforts to close these gaps.

Moreover, it offers numerous technical advantages like continuous delivery, early problem detection and resolution, and simple project administration. Faster delivery, KPI control, and increased team cooperation are all hugely significant business benefits. For a positive client experience, these factors are essential.

What it does is it gets around all the drawbacks of the conventional waterfall model. A large number of development, testing, and deployment technologies are used in the DevOps process to create automated CI/CD pipelines. The following list includes some well-known DevOps tools:

  • Git and GitHub - Management of source code with (Version Control System).
  • Jenkins- It is a server for automation with plugins for creating CI/CD pipelines.
  • Selenium - Testing automation can be done by using it.
  • Docker– It is a Platform for Software Containerization.
  • Kubernetes- It is a tool for container orchestration.
  • Puppet-Configuration management and deployment can be done using it.
  • Ansible and Chef- They both provide configuration management and deployment services.
  • Nagios- Continuous Monitoring can be done using it
  • To learn more about DevOps and its many stages/tools, you can go to and Top 10 DevOps Tools 

DevOps Engineer Description

When talking about the responsibilities of a DevOps engineer, we may start by stating that their work is essential to the success of the project, from planning to supporting key performance indicators like customer satisfaction and productivity. The integration of project functions and resources throughout the product life cycle—from planning to building to testing to deployment to support— all of these require the expertise of a DevOps Engineer Expert.

A DevOps Engineer understands completely the Software development Lifecycle and has a complete understanding of the different automation tools used to build digital pipelines (CI/CD pipelines).
To manage the code releases, the DevOps Engineer collaborates with the IT team and developers who are ready to get into the deployment and network operations.
They have knowledge about all aspects of technical and IT-related operations. They must be aware of the numerous automation tools that can be needed for process testing and automation.

Roles and Responsibilities

The roles and responsibilities of a DevOps engineer combine management and technical duties. To successfully integrate multiple activities in a coordinated manner and fulfill the responsibilities to the satisfaction of the client, excellent communication and coordination skills are crucial.
The duties of a DevOps engineer are multifaceted; they must be quick to switch from managing operations and to switch to the technical part.
The following are some of the primary duties of a DevOps Engineer:

  • Knowing project KPIs and customer requirements
  • Implementing various IT infrastructure, development, testing, and automation technologies.
  • Organizing the team's composition, activity, and participation in project management tasks.
  • Managing external interfaces and stakeholders.
  • Setting up the equipment and infrastructure needed.
  • Establishing and defining development, test, release, update, and support procedures for DevOps operations.
  • Having the technical expertise that is necessary to examine, confirm, and validate the software code which is created for the project.
  • Techniques for troubleshooting and eliminating issues in the code.
  • Monitoring the processes for compliance throughout the whole lifecycle and updating or developing new procedures for improvement and waste reduction.
  • Whenever possible, promote and develop automated processes.
  • The identification and implementation of cybersecurity measures through ongoing vulnerability assessment and risk management.
  • Management of incidents and root-cause analysis.
  • Coordinating with one another and communicating with customers.
  • Choosing and implementing the right CI/CD tools.

Now, Let’s jump into some skillsets required in DevOps Engineer Role.

Skillset Required 

The job of a DevOps Engineer calls for technical expertise during the development cycle and operational expertise during maintenance and support. Graduates in computer science or computer technology may provide some of the technical expertise required to work as a DevOps engineer. The abilities needed to manage the operations, however, typically come from experience or through enrolling in specialized development programs, which can advance your career in the desired direction.

How to become a DevOps Engineer?

The high compensation that comes with it more than justifies the duties and responsibilities of this position. If you want to become a DevOps engineer, there is a path you may take to get the requisite knowledge, credentials, and experience.

The position of a DevOps engineer is often one of a senior position. Consequently, you need to have extensive experience working for software development teams or organizations. Most persons who work as DevOps engineers have either previously worked as developers, QAs, or in operations-related positions.

This may be true for any specialized position in the IT sector, but having a computer science degree with a software development focus will always be helpful. However, as requirements shift from formal schooling to skill-based requirements, many self-taught and professionally certified developers with the necessary training and expertise are entering the market.

Thus, earning a regular four-year degree is merely one route into the field. Although it is the simplest, there are a number of other ways to gain expertise in a software development profession that may present additional opportunities for you as a job seeker.

Before advancing to a more senior QA or testing position, a committed manual tester at a junior level might gradually gain on-the-job experience, begin training, and get the necessary industry qualifications. The DevOps engineer position is the final stop on this journey.

AWS, Microsoft Azure, and GCP (Google Cloud Platform) are just a few examples of new technologies and solutions that you should be sufficiently knowledgeable about.

DevOps Engineer Salary

Even those with little experience can make a respectable living as DevOps engineers. The compensation range for DevOps engineer experts in India is 4.2 Lakhs to 12.5 Lakhs, with 6.0 Lakhs as the average annual salary and 30.0 Lakhs as the maximum salary. The role, candidates' abilities, and experience all affect the real pay. In general, the higher the candidates' pay for certain roles, the more experience they have.


It is not unexpected that DevOps engineering has become one of the highest-paying job profiles globally given the diverse range of jobs and responsibilities. Many experts see it as a mindset that affects how employees engage with upper management and entry-level roles and see it as more than just an IT function.


1. What are DevOps engineer skills?

DevOps Engineers should have at least these skills to completely understand the software development cycle:

1) Interaction and Cooperation
Given the fundamental nature of DevOps, cooperation and communication are essential for success. These two are crucial in removing the barriers between Dev and Ops teams, bringing teams' goals into line with corporate objectives, and fostering a cross-functional DevOps culture.

2) Soft Skills and High Principles
Just being proficient in automation and coding is insufficient. A different version of you—one who excels in soft skills, self-motivation, flexibility, and learning—is required for DevOps. Professionals in DevOps should be both doers and listeners.
They should make it abundantly apparent that the DevOps transformation entails collaboration-driven stakeholder talks, understanding of business goals, assessment, and identification of improvement areas.

3) Knowledge of Useful Tools
Success in DevOps solely depends on the toolkit used during various stages of its execution. Even counting the amount of tools DevOps introduced is difficult. But a thorough discussion of the importance of making DevOps successful is required.

4) Security skills
The rate of hazards often mirrors the speed of deployment that DevOps provides. Given this limitation, the usual strategy that places security at the end or in a separate process may not be effective.

5)Programming and Coding
Programming and coding are two essential abilities that every DevOps engineer has to have. Ruby, Python, Java, Javascript, PHP, Bash, Shell, Node.js, and Python. Js is one of the most frequently suggested programming and scripting languages.

6) Testing abilities
Testing is essential to the success of DevOps. Tests must function flawlessly without fail in the DevOps automation process. For continuous testing to be successful, where automated tests are run, this is crucial.

7) Cloud Skills
Cloud and DevOps go hand in hand all the time. One directly affects and depends on the other's effectiveness. While the cloud supports a process by giving it the necessary infrastructure to test, deploy, and release code, DevOps methodology drives that process.

2. Do DevOps need coding?

All development approaches necessitate the use of programming languages, but DevOps engineers have a particular set of coding duties. A DevOps engineer should have knowledge of several scripting languages, including Java, JavaScript, Ruby, Python, PHP, Bash, and others, rather than being an expert in just one.

3. What is the role of DevOps engineer?

DevOps engineers reduce the complexity, close different gaps between actions to quickly change an application, and also the tasks that maintain its reliability.
Teams for IT operations and development may have various skill sets and objectives. While operations teams want to maintain an application's reliability after it has been deployed, developers want to add new features to it.
DevOps engineers play a key role in the integration of code, application maintenance, and application administration. DevOps is all about the unification and automation of processes. Understanding not only development life cycles but also DevOps culture, with its guiding principles, procedures, and tools, is necessary for all of these responsibilities.

4. What are the everyday tasks of a DevOps engineer?

A DevOps Engineer's regular day-to-day tasks include:
  • Check whether the software can grow as users add more data to it.
  • Preserving any modification to the code in a single system so that it may be changed and tested.
  • Keeping track of customer opinions and reactions to a product's fresh releases.
  • Constructing a more automatic and user-friendly setup environment.

About the Author

 fingertips Fingertips

Fingertips is one of India's leading learning platforms, enabling aspirants - working professionals, and students to enhance competitive skills and thrive in their careers. We offer intensive training in areas such as Digital Marketing, Data Science, Business Intelligence, Artificial intelligence, and Machine Learning, among others.

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