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DevOps - A glossary for recruiters

Anudeep Rastogi

DevOps engineers are in high demand as companies look to improve their software development and deployment processes.

To recruit the best candidates, it's important to understand the top technical skills that are required for the role so that you can understand a candidate's resume and fit for the role quickly.

Top 20 terms likely to be found on a DevOps engineer resume:

  1. Docker: Docker is a containerization technology that allows developers to package their applications and dependencies together in a single container. It was first released in 2013 and is now widely used in DevOps for containerization and microservices.
  2. Kubernetes: Kubernetes is an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications. It was first released in 2014 and is now one of the most popular tools for managing containerized workloads in production.
  3. Ansible: Ansible is a configuration management tool that automates the deployment and management of software on servers. It was first released in 2012 and is now widely used in DevOps for automation and infrastructure as code.
  4. Jenkins: Jenkins is an open-source automation tool that is used for building, testing, and deploying software. It was first released in 2011 and is now one of the most popular tools for continuous integration and continuous delivery.
  5. Git: Git is a version control system that is used to track changes in software development. It was first released in 2005 and is now the most widely used version control system in the world.
  6. Linux: Linux is a free and open-source operating system that is widely used in servers, supercomputers, and mobile devices. It was first released in 1991 and is now one of the most popular operating systems for servers and DevOps.
  7. AWS: Amazon Web Services (AWS) is a collection of remote computing services (also called web services) that make up a cloud computing platform, offered by Amazon.com. These services operate from 12 geographical regions across the world.
  8. Terraform: Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. It supports a variety of resource types including virtual machines, DNS entries, and databases. It was first released in 2014 and is now widely used in DevOps for infrastructure as code.
  9. Nagios: Nagios is a powerful open-source monitoring system that is used to monitor hosts and services. It was first released in 1999 and is now one of the most popular monitoring tools in the world.
  10. Python: Python is a programming language that is widely used in web development, data science, and DevOps. It was first released in 1991 and is now one of the most popular programming languages in the world.
  11. Bash: Bash is a Unix shell, which is a command-line interface for interacting with an operating system. It is the default shell on Linux and macOS.
  12. Puppet: Puppet is a configuration management tool that automates the deployment and management of software on servers. It was first released in 2005 and is now widely used in DevOps for automation and infrastructure as code.
  13. Chef: Chef is a configuration management tool that automates the deployment and management of software on servers. It was first released in 2009 and is now widely used in DevOps for automation and infrastructure as code.
  14. Prometheus: Prometheus is an open-source monitoring system that is used to monitor hosts and services. It was first released in 2012 and is now one of the most popular monitoring tools in the world.
  15. Grafana: Grafana is an open-source data visualization tool that is used to create dashboards and visualizations of time-series data. It was first released in 2014 and is now widely used in DevOps for monitoring and observability.
  16. Elasticsearch: Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. It was first released in 2010 and is now widely used in DevOps for logging and search.
  17. Logstash: Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use. It was first released in 2011 and is now widely used in DevOps for logging and analytics.
  18. Kibana: Kibana is an open-source data visualization tool that is used to create dashboards and visualizations of data stored in Elasticsearch. It was first released in 2011 and is now widely used in DevOps for logging and analytics.
  19. Jenkins: Jenkins is a popular open-source automation server that helps automate parts of the software development process. Jenkins provides hundreds of plugins to support building, deploying, and automating any project.
  20. Selenium: Selenium is an open-source automation tool that is used for automating web browsers. It allows you to write scripts to automate tasks such as filling out forms, clicking buttons, and navigating pages. It was first released in 2004 and is now widely used in DevOps for testing and automation.

Understanding these technologies and how they are used in the DevOps process will help recruiters identify the best candidates for the job.

Knowing these technologies means that the candidate has the ability to automate, containerize, and monitor the systems, and improve the software development and deployment processes.

About Rocket

Rocket pairs talented recruiters with advanced AI to help companies hit their hiring goals and knows technology recruiting inside out. Rocket is headquartered in the heart of Silicon Valley but has recruiters all over the US & Canada serving the needs of our growing client base across engineering, product management, data science and more through a variety of offerings and solutions.

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