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.