DevOps Engineer – ML – Cloud

Responsibilities

• You actively design digital solutions for cloud, AI, and ERP systems and drive their efficient deployment and operation
• You continuously modernize and optimize the cloud infrastructure with a focus on scalability, stability, and cost-efficiency
• You implement Infrastructure as Code using Docker, Kubernetes, GitLab CI/CD, and Argo CD / Argo Workflows to deliver fast, reproducible, and scalable infrastructures (including GPU and LLM stacks)
• You act across the business as a competent supporter and solution partner for different departments
• You actively share your know-how within the team, promote the exchange of best practices, and support building a strong DevOps/MLOps culture

Requirements

• Proven experience with Kubernetes (cluster management, deployment strategies, resource optimization)
• Practical knowledge of Argo CD / Argo Workflows for CI/CD pipelines and GitOps
• Confident handling of Git repositories (branching strategies, code review processes, CI/CD integration)
• Experience with GPU drivers and building a scalable LLM stack (e.g., NVIDIA stack, CUDA, containerizing models)
• Infrastructure as Code (Terraform, Ansible or similar) for automated and reproducible provisioning
• Scripting skills for Argo CI/CD to automate scalable infrastructure processes
• Knowledge of scalable LLM infrastructure (resource management, auto-scaling, cost optimization)