DevOps / Platform Engineer

Technologies we use

About the project

This is how we organize our work

This is how we work

Your responsibilities

• Design, build and maintain deployment and release pipelines that improve reliability and reduce manual intervention.
• Build internal release tooling to automate packaging, approvals, deployments and release workflows.
• Create reusable GitLab CI templates, Helm charts and ArgoCD applications that enable engineering teams to self-serve build and deployment processes.
• Containerize and modernize QA and lower environments using Docker, Kubernetes, Helm and Ansible, improving consistency with production.
• Develop and maintain automation scripts and internal engineering tools using Python, Bash and JavaScript.
• Troubleshoot deployment, infrastructure and environment-specific issues together with software engineering, QA and database teams.
• Drive adoption of GitOps and modern CI/CD practices across engineering teams.
• Use AI-assisted engineering tools to accelerate testing, investigation, refactoring and automation of repetitive operational work.
• Maintain technical documentation and runbooks and share knowledge across distributed engineering teams.

Our requirements

• 3+ years of strong hands-on experience with Python and Bash/shell scripting for automation and tooling.
• Practical experience building and maintaining CI/CD pipelines, preferably with GitLab CI/CD and/or Jenkins.
• Experience with Docker and Kubernetes, including application containerization and environment management.
• Hands-on knowledge of GitOps and deployment/configuration tooling, such as ArgoCD, Helm and Ansible.
• Strong understanding of Git workflows, versioning practices and modern software delivery.
• Experience building internal engineering or automation tools; exposure to Python backends and JavaScript-based web interfaces is an advantage.
• An automation-first mindset and experience identifying repetitive processes that can be replaced with reliable tooling.
• Good English communication skills and the ability to collaborate effectively with distributed engineering teams.
• Comfortable using modern AI development tools to improve productivity, troubleshooting and testing.
• Nice to have: experience with AWS/RDS, Octopus Deploy, Nexus or Artifactory, Prometheus, Grafana, Rancher, ELK, SQL Server/DBA workflows, secure SDLC/SOC environments or legacy application migrations.

What we offer

• Medical care
• Life insurance
• Multisport