Summary
✨ AI‑Generated
Join an engineering team focused on GPU infrastructure and AI platforms. You will advise customers, design and implement proof-of-concepts, support onboarding and training, operate Kubernetes-based environments, optimize performance, troubleshoot production issues, and own CI/CD and automation workflows.
Highlights
Technical role combining DevOps, GPU infrastructure, and AI platforms with customer-facing consulting, proof-of-concept work, training, and end-to-end ownership of automation and deployment environments.
Description
I am looking for an experienced DevOps Engineer focused on GPU infrastructure and AI platforms, acting as a key technical contact for customers.
You will design and implement PoCs, support onboarding and training of customer teams, and ensure smooth operation of Kubernetes-based AI environments.
The role includes performance optimization, troubleshooting, and end-to-end responsibility for CI/CD and automation pipelines.
Strong experience with Linux, Kubernetes, scripting (Python/Bash), and modern infrastructure automation tools is required.
🚀 Project
consult customers on technical aspects of GPU infrastructure and AI platform usage lead onboarding and training activities, mentoring customer engineers on effective use of GPU clusters and AI environments design and implement proof of concepts, including environment setup, data processing pipelines, and deployment workflows perform requirements engineering and translate business needs into technical specifications support performance tuning, troubleshooting, fine-tuning, and validation of deployed solutions act as the main technical contact for customers and coordinate across infrastructure, networking, automation, security, and AI teams design and propose automation approaches to improve infrastructure, processes, and operational efficiency ensure best practices in reliability, scalability, and security across all delivered solutions support monitoring, observability, and capacity planning for AI workloads and GPU utilization
🎯 Skills
3+ years of experience in designing and delivering IaaS, PaaS, or SaaS-based systems strong experience with Kubernetes and containerized environments solid experience with GPU-based infrastructure and workloads expert-level scripting skills in Python and/or Bash strong knowledge of automation tools such as Ansible, Terraform, SaltStack, or Helm experience with CI/CD pipelines in Kubernetes environments and Git-based workflows hands-on experience with Git (GitHub, GitLab) and CI/CD tools (GitHub Actions, GitLab CI/CD) strong Linux system administration skills experience with monitoring and observability tools such as Grafana and Prometheus English at B2 level
💡 Nice to have
strong communication and presentation skills analytical thinking and problem-solving mindset teamwork and cross-functional collaboration skills basic project management experience basic leadership experience intermediate knowledge of quality management practices German
