Seargin
DevOps Engineer
SearginSpain4 hours ago
Full-timeRemote FriendlyInformation Technology

As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate!

Currently, for the new Seargin project we are looking for a DevOps Engineer,who will collaborate with product development teams. With a focus on automating builds via CI/CD pipelines and getting code into production as quickly and efficiently as possible. As well as supporting services before they go live via system design consulting, developing software platforms and frameworks, capacity planning and launch reviews. You will use automation to scale systems sustainably and help to make improvements, evolving systems and driving change that improves the reliability, speed, and security. Work with IT Product teams to deploy newer version of software in Cloud resources. Collaborate with DevOps teams to make sure new environments meet requirements and conform to best practices.


Contract type: B2B

Location: hybrid (2 days in the office in Madrid and 3 from home each week)

Seniority: mid


Requirements:

MANDATORY:

  • Strong knowledge managing Jenkins and GitHub Actions.
  • Strong knowledge writting Helm templates to deploy resources in ROSA.
  • Experience creating docker images (Dockerfiles and S2I).
  • Experience deploying resources and managing them in Kubernetes/OpenShift.
  • Experience in gitflow (strong knowledge of control versions with git that allows to create new flows).
  • Experience in Linux.
  • Service will be provided in English, conversational level is a must

NICE TO HAVE:

  • Knowledge deploying resources in AWS using Terraform.
  • Knowledge architecting solutions in AWS.
  • Knowledge in code analysis tools (Sonarqube and GHAS) and creating performance tests (Jmeter).
  • Scripting using Python, Bash or similar.


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