DevOps Engineer (m/f/d)

• Manage cloud, on-premises, and privately hosted cloud infrastructure across Dev, STG, UAT, and Production environments.
• Manage Linux/ Windows servers, virtual machines, containers, storage, networking, firewalls, VPNs, DNS, load balancers, reverse proxies and Kubernetes clusters.
• Manage and maintain GitHub and GitLab environments, including cloud-hosted and on-premises GitLab.
• Design and maintain CI/CD pipelines using GitHub Actions, GitLab CI/CD, Azure DevOps, and self-hosted runners.
• Manage Docker/ containerized applications and container registries.
• Implement Infrastructure as Code using Terraform or similar technologies.
• Manage on-premises AI/GPU servers, AI services, model-serving infrastructure, and AI integrations.
• Support deployment and operation of internal AI services and their integration with business applications.
• Manage hybrid connectivity between cloud and on-premises environments.
• Implement infrastructure monitoring, logging, alerting, and observability using tools such as Grafana(LGTM), Elasticsearch(ELK/EFK), Prometheus, or similar.
• Manage infrastructure security, access control, secrets, certificates, backups, and disaster recovery.
• Troubleshoot infrastructure, networking, deployment, performance, and availability issues.
• Automate operational tasks and continuously improve deployment and infrastructure processes.
• Maintain infrastructure documentation, architecture diagrams, and operational procedures.
• Support infrastructure upgrades, migrations, capacity planning, and production releases.
• 3+ years of experience in DevOps, Cloud Engineering, Infrastructure Engineering, or a similar role.
• Strong experience with Linux and/or Windows Server and/or Kubernetes.
• Hands-on experience with Docker and CI/CD.
• Strong experience with GitHub, GitHub Actions, GitLab, and GitLab CI/CD.
• Experience managing self-hosted/on-premises GitLab and CI/CD runners.
• Practical experience with Microsoft Azure or another major cloud platform.
• Experience with on-premises and hybrid infrastructure.
• Good understanding of networking, DNS, VPN, firewalls, reverse proxies, load balancing, and SSL/TLS.
• Experience with Terraform, Bicep, or other Infrastructure as Code tools.
• Experience with monitoring and logging platforms.
• Strong scripting/automation skills using PowerShell, Bash, Python, or similar.
• Strong troubleshooting and problem-solving skills.
• Good understanding of infrastructure and application security.

Preferred Qualifications

• Experience with GPU/NVIDIA infrastructure and AI/ML workloads.
• Experience with IAC using Bicep
• Experience operating LLM/AI inference services and APIs.
• Experience with private cloud / on-premises cloud platforms.
• Experience with Azure Container Registry (ACR).
• Experience with Traefik, NGINX, or IIS.
• Experience with PostgreSQL, SQL Server, Redis, Elasticsearch, or MongoDB from an infrastructure perspective.
• Knowledge of DevSecOps, disaster recovery, and cloud cost optimization.
• Relevant Azure, Kubernetes, Terraform, or GitLab certifications.

Ideal Candidate

We are looking for a hands-on, automation-focused DevOps Engineer who can take ownership of infrastructure across cloud, on-premises, private cloud, GitHub, GitLab, CI/CD, containers, networking, monitoring, and AI infrastructure.

You should be comfortable troubleshooting complex environments, working independently, and continuously improving infrastructure to make it more reliable, secure, automated, and scalable.

• Flat hierarchies, direct communication, and a backbone of integrity, courage, responsibility.
• A fast-moving environment where momentum is not lost in approval loops.
• Collaborate with colleagues and customers across countries, industries, and perspectives.
• A workplace shaped by technology, curiosity, and continuous improvement.
• Challenges with scale, depth, and enough complexity to keep you learning.