June 8, 2026

AI DevOps Lead Engineer

Senior • Hybrid

200 - 200 PLN/hr

Krakow, Poland

Introduction & Summary:

We are seeking an accomplished AI DevOps Lead Engineer with a strong foundation in cloud infrastructure management and DevOps practices. The ideal candidate will have over 4 years of experience in DevOps, SRE, or Cloud Engineering roles, with a proven record of designing and implementing robust cloud solutions, particularly on GCP and Azure platforms. Strong expertise in Infrastructure as Code (IaC) and CI/CD pipeline management is imperative, along with scripting capabilities in Python and Bash.

What we offer:

  • Long Term B2B Contract

  • Rate: 200 PLN/ H +VAT

  • Hybrid Cracow ( 1-2 times per week)

Main Responsibilities:

  • Design, build, and manage core infrastructure on Azure using IaC principles.

  • Administer and enhance GKE and AKS clusters, ensuring security, scalability, and resilience.

  • Evolve Jenkins pipelines and developer tooling for improved automation and efficiency.

  • Implement security controls and automate vulnerabilities remediation.

  • Develop a robust monitoring and alerting framework for operational visibility.

  • Implement security gateways for improved governance.

Key Requirements:

  • 4+ years of experience in a DevOps, SRE, or Cloud Engineering role.

  • Deep knowledge of Linux/UNIX operating systems.

  • Production experience with GCP and/or Azure, including management of clusters (GKE, AKS).

  • Strong proficiency with Infrastructure as Code using Terraform.

  • Proven experience with CI/CD pipeline development using Jenkins.

  • Scripting and automation skills in Python and/or Bash.

Nice to Have:

  • Experience with monitoring tools like Prometheus, Grafana, and Loki.

  • Familiarity with container management using Docker.

  • Knowledge of additional cloud services and platforms.

Other Details:

This position offers the opportunity to work in a dynamic environment that fosters innovation and collaboration. Candidates can work remotely or on-site, depending on personal preferences; flexibility in schedule is provided to facilitate a productive work-life balance.

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