DevOps Engineer – Cloud

Jobtailor; Münster; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor in Münster, Germany seeks an experienced DevOps/MLOps engineer to design and operate cloud, AI and ERP infrastructures. You will implement scalable pipelines and keep systems reliable in production.

The role emphasizes IaC, Kubernetes, Argo CD, and GPU-accelerated stacks, with close collaboration across business units to promote DevOps culture and best practices.

Applicants bring hands-on Kubernetes, Argo CD, Terraform/Ansible, and experience building scalable LLM environments.

Qualifikationen

• Extensive experience with Kubernetes cluster management and deployment strategies.
• Hands-on Argo CD / Argo Workflows for CI/CD pipelines and GitOps.
• Proficient handling of Git repositories, branching, reviews, and CI/CD integration.
• Experience with GPU drivers and building scalable LLM stacks (NVIDIA stack, CUDA).
• Infrastructure as Code using Terraform, Ansible, etc., for reproducible provisioning.
• Scripting skills with Argo CI/CD to automate scalable infrastructure processes.
• Knowledge of scalable LLM infrastructure, including auto-scaling and cost optimization.

Aufgaben

• Actively design digital solutions for cloud, AI, and ERP systems and drive deployment and operation.
• Modernize and optimize cloud infrastructure for scalability, stability, and cost efficiency.
• Implement IaC using Docker, Kubernetes, GitLab CI/CD, and Argo CD to deliver fast, reproducible infra (GPU/LLM stacks).
• Collaborate cross-functionally as a solution partner for business units.
• Share expertise within the team and foster a DevOps/MLOps culture.

Kenntnisse

Kubernetes

Argo CD/Argo Workflows

Git handling

GPU drivers & LLM stack

Infrastructure as Code

Scripting with Argo CI/CD

Scalable LLM infra

Tools

Argo CD

Git

Terraform

Ansible

NVIDIA CUDA

Jobbeschreibung

• You actively design digital solutions for cloud, AI, and ERP systems and drive their efficient deployment and operation.
• You continuously modernize and optimize 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 cross-functionally as a knowledgeable support and solution partner for business units.
• You actively share your expertise within the team, promote the exchange of best practices, and support building a strong DevOps/MLOps culture.

Requirements

• Solid experience with Kubernetes (cluster management, deployment strategies, resource optimization).
• Hands-on experience with Argo CD / Argo Workflows for CI/CD pipelines and GitOps.
• Proficient 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, etc.) for automated and reproducible provisioning.
• Scripting skills with Argo CI/CD for automated, scalable infrastructure processes.
• Knowledge of scalable LLM infrastructure (resource management, auto-scaling, cost optimization).

Core Competencies

Demonstrates expertise in designing and deploying cloud, AI, and ERP solutions with a strong focus on Infrastructure as Code, scalability, and cost efficiency. Proficient in implementing CI/CD pipelines and fostering a collaborative DevOps/MLOps culture.