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 tools such as Docker, Kubernetes, GitLab CI/CD, and Argo CD / Argo Workflows to provide fast, reproducible, and scalable infrastructures (including GPU and LLM stacks)
You act cross-functionally as a knowledgeable supporter and solutions partner for business units
You actively share your expertise within the team, promote the exchange of best practices, and help build a strong DevOps/MLOps culture

Solid experience with Kubernetes (cluster management, deployment strategies, resource optimization)
Practical experience with 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)

Hybrid or remote work options and flexible working hours
Autonomy and creative freedom appropriate for development roles
Participation in company/project success
A modern workplace with plenty of opportunities for impact and professional development

Dev - MLOps - Cloud Engineer

Key skills