DevOps Engineer (m/f/d)
Core
Manage hybrid cloud and on-premises infrastructure, CI/CD pipelines, containerized applications, and AI/GPU server environments for internal services and business integrations.
Role type
Senior DevOps Engineer (Infrastructure & AI Workloads)
Builds
Production-ready infrastructure, automated deployment pipelines, containerized AI/ML services, and hybrid connectivity solutions.
Domain
Cloud Engineering, Infrastructure as Code, AI/ML Infrastructure, Hybrid IT
Deliverable
production ML models | infrastructure
Required skills
Linux/Windows Server administration, Kubernetes, Docker, CI/CD pipeline design, Infrastructure as Code (Terraform/Bicep), Networking (DNS/VPN/Firewalls), Scripting (PowerShell/Bash/Python), Observability (Grafana/Prometheus/ELK), Security management
Preferred skills
GPU/NVIDIA infrastructure, LLM/AI inference services, Private cloud platforms, Azure Container Registry, Reverse proxies (Traefik/NGINX), Database infrastructure (PostgreSQL/SQL Server/Redis/MongoDB), DevSecOps practices
Technologies
Kubernetes, Docker, GitHub Actions, GitLab CI/CD, Azure DevOps, Terraform, Bicep, Grafana, Elasticsearch, Prometheus, PowerShell, Bash, Python, NVIDIA GPUs, Traefik, NGINX, IIS, PostgreSQL, SQL Server, Redis, MongoDB
Responsibilities
Design and maintain CI/CD pipelines using GitHub Actions, GitLab CI/CD, and Azure DevOps; Manage on-premises AI/GPU servers and model-serving infrastructure; Implement Infrastructure as Code using Terraform or Bicep; Troubleshoot complex networking, deployment, and performance issues; Automate operational tasks and improve infrastructure reliability; Manage infrastructure security, access control, and disaster recovery.
Seniority
Senior, hands-on IC
