DevOps Engineer Job Description: Roles and Responsibilities

DevOps is among the hottest sections in the tech industry. The demand for DevOps Engineers and professionals is rising too as companies look to deploy more software solutions to meet the industry demands.

This article will throw light on the roles and responsibilities of DevOps Engineer so you can understand why this field is so much in demand and how you can enter it.

DevOps Engineer: Job Description

A DevOps Engineer is an IT professional who works with system operators, software developers, and other team members to handle code releases. They merge the barriers between software development, operations, and testing teams while keeping the current networks in mind for designing, planning, and testing.

A DevOps Engineer must be an expert at IT infrastructure management which is necessary for supporting the software code in multi-tenant, dedicated or hybrid cloud environments. In DevOps, the operations teams and development teams merge to match the software demands of the industry. Therefore, DevOps Engineers have to perform numerous functions during an application lifecycle.

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DevOps Engineer Job Description: Roles and Responsibilities

TOP 11 SKILLS TO LOOK OUT FOR WHILE HIRING DEVOPS ENGINEERS

Companies that incorporate DevOps practices get more done. It is as simple as that. The technical benefits include continuous delivery, easier management, easier to manage, and faster problem solving. In addition to this, there are cultural benefits like more productive teams, better employee engagement, and better development opportunities.

With these wide ranging benefits, it comes as no surprise that the future looks eminent for companies using DevOps practices. The market looks good too. According to Markets and Markets,

DevOps market size was at $2.9 Billion in 2017 and is expected to reach $10.31 Billion by 2023.
The CAGR expected to be exhibited by the market is 7%.

This growth is due to the added business benefits of faster feature delivery, much more stable operating environments, improved collaboration, better communication, and more time to innovate rather than fix or maintain.

The DevOps ecosystem is riddled with industry leaders such as CA Technologies, Atlassian, Microsoft, XebiaLabs, CollabNet, Rachspace, Perforce, and Clarive among others. With the industry leaders adopting this culture, it is only a matter of time before DevOps becomes the standard practice of integrating development and operations to ensure a smoother workflow.

If you have decided to restructure your workflow using the more efficient DevOps architecture, you will need to hire the best DevOps engineers that the market has to offer. Here, we will discuss the various aspects that need to be evaluated in order to estimate the proficiency of the developer that you intend to hire.

11 SKILLS TO LOOK FOR IN A DEVOPS ENGINEER

According to “Enterprise DevOps Skills” Report, there are 7 skill spheres that are most important when it comes to DevOps engineers. The list includes automation skills, process skills, soft skills, functional knowledge, specific automation, business skills, and specific certifications. However, we have gone one step further to include 11 specific skill sets needed for a DevOps engineer. This is not an exhaustive list, this is an unavoidable list.

LINUX FUNDAMENTALS

Configuration management DevOps tools like Chef, Ansible, and Puppet have based their architecture on the Linux master nodes. For infrastructure automation, having Linux experience is crucial.

10 CRUCIAL DEVOPS TOOLS

These tools come under the spheres of collaboration, issue tracking, cloud/IaaS/PaaS, CI/CD, package managers, source control, continuous testing, release orchestration, monitoring, and analytics.

CI/CD

Continuous integration and continuous delivery is the soul of DevOps. A better understanding of this principle helps the engineer to deliver high quality products at a faster pace.

IAC

In the DevOps community, Infrastructure as Code is the latest practice. Through abstraction to a high level programming language, this practice helps in managing infrastructures. It aids the applications of version control, tracking, and repository storing.

KEY CONCEPTS

The traditional silos between business, development, and operations are eliminated by the integration of DevOps. The key concept is to create a cross-functional environment of better collaboration and a seamless workflow. The engineer must have grasped this idea completely and do away with time wasters like code transfer between teams and also be proficient in automating most of the tasks.

SOFT SKILLS

Since collaboration is key for DevOps to function in its entire glory, soft skills are as necessary as technical expertise. Soft skills include communication, listening, self control assertiveness, conflict resolution, empathy, positive attitude, and taking ownership.

CUSTOMER CENTRICITY

The engineer must be able to put themselves in the shoes of the customer and take decisions that address the consumer demands.

SECURITY

Speed, automation, and quality is the core of DevOps. This is where the secure practice of DevSecOps comes takes form. With increased coding speed, vulnerabilities follow. The engineer must be equipped to write codes that are protected from various attacks and vulnerabilities.

FLEXIBILITY

The engineer must have immense knowledge about the ever evolving tech and have the capacity to work with the latest tools and stacks. They should also have the prowess to integrate, test, release, and deploy each project.

COLLABORATION

Active collaboration is needed to streamline the workflow pouring in from the cross functional environment consisting of developers, programmers, and business teams. There should be transparency and a clear cut communication between the engineers.

AGILE

Every DevOps practitioner must root their philosophy in the Agile method. The 4 values and 12 principles of the Agile framework must be followed at all times.

Making sure that your new hire has these skill sets adds to the value of your DevOps integration. However, if you plan on hiring a dedicated DevOps team for your business, look no further because you have come to the right place.

Orion eSolutions takes immense pride in the quality of our DevOps engineers we nurture and we rightfully boast the standard of our outputs. If you are wondering if we sport all the skills mentioned above, we go much beyond that. Let us clear your doubts.

WHY ORION SHOULD BE YOUR DEVOPS DEVELOPMENT COMPANY

Through a robust use of resources and time, we ensure the highest output possible through DevOps which is:

208 times more frequent code deployments.
106 times faster lead time from commit to deploy
2604 times faster time to recover from incidents
7 times lower change failure rate

We offer cost effective solutions with guaranteed expertise and reliability. And our workflow is as seamless as the output we provide. We understand your requirements and agree on a workflow, team size, deliverables and deadline. Then we put together the most viable team for your project and start delivering. Collaborate with us today to enjoy the power of collaboration through the most efficient DevOps engineers.

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10 Latest Big Data Engineer Openings At Top Firms In India

Extras:

1| Senior Technical Architect at Thoucentric

Location: Bangalore

**Responsibilities: **

  • Design and implement data architecture and ETL for a niche data platform.
  • Bring in-depth understanding on Relational, Big Data and Cloud technologies.
  • Build client relationships and participate in business development and proposal work to grow a strong data engineering sub-practice.

Apply here.

2| Data Engineer at Thoucentric

Location: Bangalore

**Responsibilities: **

  • Build data crawlers to extract data from customers’ data sources using available ETL platforms, and troubleshoot the issues faced during data loading & processing.
  • Design and build data warehouse models in columnar databases.
  • Develop data processing scripts using SQL and optimise complex sequences of SQL Queries.

Apply here.

3| Big Data Engineer at Thoucentric

Location: Bangalore

Responsibilities:

  • Take ownership of end-to-end data-pipeline including system design and integrating required Big Data tools & frameworks.
  • Implementing ETL processes and constructing data warehouse (HDFS, S3, Azure etc.) at scale.
  • Analyse the source and target system data. Map the transformation that meets the requirements.

Apply here.

Find below the data engineer job openings:

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How to Extend your DevOps Strategy For Success in the Cloud?

DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.

According to the survey in EMEA, IT decision-makers have observed a 129%* improvement in the overall software development process when performing DevOps on the Cloud. This success result was just 81% when practicing only DevOps and 67%* when leveraging Cloud without DevOps. Not only that, but the practice has also made the software predictability better, improve the customer experience as well as speed up software delivery 2.6* times faster.

3 Core Principle to fit DevOps Strategy

If you consider implementing DevOps in concert with the Cloud, then the

below core principle will guide you to utilize the strategy.

  • It is indispensable to follow a continuous process, including all stages from Dev to deploy with the help of auto-provisioning resources of the target platform.
  • The team always keeps an eye on major and minor application changes that can typically appear within a few hours of development to operation. However, the support of unlimited resource provisioning is needed at the stage of deployment.
  • Cloud or hybrid configuration can associate this process, but you must confirm that configuration should support multiple cloud brands like Microsoft, AWS, Google, any public and private cloud models.

Guide to Remold Business with DevOps and Cloud

Companies are now re-inventing themselves to become better at sensing the next big thing their customers need and finding ways with the Cloud based DevOps to get ahead of the competition.

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Job Cycle and on Demand Tools of Devops Programming Engineer

The dream of everyone is to earn a high salary, DevOps is one way to reach this dream. Anyone can learn DevOps and get placed with a large corporation. This article will help you to gain complete knowledge about what are the roles and responsibilities of a DevOps Engineer.

Introduction to DevOps

DevOps is a compound of Development and Operations. DevOps is the combination of practices, and processes that increase the organization’s ability to provide qualified applications to add value to the customer businesses. In simple terms, DevOps is a methodology in which operations and development engineers collaborate during the service lifecycle from design to development to production support.

Roles and Responsibility of DevOps Engineer:

There are two main parts to creating an application and maintaining it using DevOps, development and operation.

  1. Development (Software developers build the application
  2. and test it)
  3. Operation (The application is deployed and maintained on a server)

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10 Must-have Skills for Data Engineering Jobs

Big data skills are crucial to land up data engineering job roles. From designing, creating, building, and maintaining data pipelines to collating raw data from various sources and ensuring performance optimization, data engineering professionals carry a plethora of tasks. They are expected to know about big data frameworks, databases, building data infrastructure, containers, and more. It is also important that they have hands-on exposure to tools such as Scala, Hadoop, HPCC, Storm, Cloudera, Rapidminer, SPSS, SAS, Excel, R, Python, Docker, Kubernetes, MapReduce, Pig, and to name a few.

Here, we list some of the important skills that one should possess to build a successful career in big data.

1. Database Tools
2. Data Transformation Tools
3. Data Ingestion Tools
4. Data Mining Tools

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