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DevOps Enigneer @ Harvey Nash Technology
  • Warsaw
DevOps Enigneer @ Harvey Nash Technology
Warszawa, Warsaw, Masovian Voivodeship, Polska
Harvey Nash Technology
21. 10. 2025
Informacje o stanowisku

We’re looking for a DevOps Engineer to take full ownership of our CI/CD automation and infrastructure initiatives. You’ll work closely with our AI/ML team to design, implement, and optimize scalable automation pipelines that support development, testing, deployment, and production operations. This is a hands-on role that requires strong technical expertise, independence, and a collaborative spirit.

Location: Warsaw (3 days in office per week)


  • Experience programming in one of Python, Java, C#, C, C++, or Golang.
  • Proficiency with AWS and cloud technologies.
  • Experience with build tools such as Make, Maven, and/or Gradle.
  • Strong knowledge of version control systems like Git.
  • Expertise in CI/CD tools such as Jenkins, TeamCity, GitLab, or GitHub Actions.
  • Hands-on experience with containers (Docker, OpenShift, Kubernetes).
  • Experience automating releases using Terraform, Ansible, and/or shell scripts.
  • Solid understanding of test processes and automation.
  • Excellent written and verbal communication skills.

We’re looking for a DevOps Engineer to take full ownership of our CI/CD automation and infrastructure initiatives. You’ll work closely with our AI/ML team to design, implement, and optimize scalable automation pipelines that support development, testing, deployment, and production operations. This is a hands-on role that requires strong technical expertise, independence, and a collaborative spirit.

Location: Warsaw (3 days in office per week)

,[Establish and maintain Continuous Integration (CI) and Continuous Deployment (CD) automation systems., Collaborate across teams to deliver scalable automation solutions that enable rapid development, configuration management, testing, and deployment., Partner with the AI/ML team to understand architectural requirements and design CI/CD pipeline templates., Define and enforce best practices for deploying code to both on-premises and cloud environments., Integrate unit testing into automated build pipelines., Ensure the stability, reliability, and performance of AI/ML product systems. Requirements: DevOps, AWS, Jenkins, GitHub, GitHub Actions, Docker, Kubernetes, Terraform, Python, Java, C, C++, Golang

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