DevOps Enterprise Architect

DevOps Enterprise Architect

• 9 years of hands‑on experience as a DevOps Engineer, SRE Engineer or similar role with a focus on MLOps.
• Expert‑level knowledge of Kubernetes, Docker, Helm, Jenkins, ArgoCD, KubeFlow and MLFlow with a proven track record of setting up and configuring complex MLOps deployments.
• Strong proficiency in scripting and automation using tools such as Bash, Python or PowerShell.
• Solid understanding of CI/CD principles and best practices specifically tailored for machine learning and AI technologies.
• Experience with versioning and reproducibility tools and frameworks such as Git, DVC and MLflow.
• Familiarity with infrastructure‑as‑code (IaC) tools like Terraform and Ansible.
• Deep understanding of Linux systems and administration.
• Familiarity with cloud platforms such as AWS, Azure or GCP and the ability to deploy and manage MLOps infrastructure in a cloud environment (Azure preferred). <...