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.