AI DevOps Lead Engineer

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.