ZeroPhase GmbH

You will own the technical infrastructure at ZeroPhase Dortmund. That means the self-hosted development environment, CI/CD pipelines, AI compute cluster, network and server security, cloud service administration, and remote endpoint management for the team. You are not a helpdesk. You are the person who builds and runs the foundation everything else sits on.

What you'll do

Infrastructure

• Deploy, maintain and secure ZeroPhase's self-hosted source code repository and version control infrastructure.
• Build and operate CI/CD pipelines that automate build, test, and deployment workflows for the engineering team.
• Set up, configure and maintain the on-site AI compute cluster: GPU servers, driver stack, job scheduling, and access management.
• Decide which AI workloads run on our local compute versus cloud AI services, and integrate the two where that is the better fit.
• Manage local network and server infrastructure: switches, firewalls, VPN, and physical server hardware.

Security

• Implement and maintain network and server security: intrusion detection, access control policies, patch management, and hardening.
• Ensure infrastructure meets the security standards expected of a defense technology company.
• Monitor systems for vulnerabilities and respond to incidents.

Cloud and endpoints

• Configure and maintain ZeroPhase's cloud software stack: user accounts, permissions, integrations, and service health.
• Manage and protect employee workstations remotely: endpoint management, patching, antivirus, and remote support when things break.
• Own onboarding and offboarding IT workflows: provisioning and decommissioning accounts and devices cleanly and securely.

What we’re looking for

• 3 to 5 years of experience in an infrastructure, DevOps, or systems engineering role.
• Hands‑on experience with self-hosted Git infrastructure: Gitea, GitLab self‑hosted, or similar.
• Experience building and maintaining CI/CD pipelines: GitLab CI, Jenkins, Gitea Actions, or similar.
• Comfortable with Linux server administration. This is a Linux environment.
• Working knowledge of network security fundamentals: firewalls, VPNs, VLANs, intrusion detection.
• Experience with GPU server setup and administration is a strong plus given the AI compute cluster responsibility.
• Some exposure to cloud AI services (e.g. hosted inference or model APIs) is a plus, given the local/cloud AI routing responsibility.
• Remote endpoint management experience: patching, MDM, antivirus deployment.
• Security‑minded by default. You do not need to be prompted to think about least privilege, hardening, or patch cadence.
• Fluent German; solid working English for coordination with Munich.

Bonus: not required

• Experience in a defense, hardware, or regulated tech environment.
• Familiarity with container orchestration: Docker, Kubernetes, or similar.
• Experience administering GPU compute environments for AI or ML workloads.

How the hiring process works

• Intro call. 30 minutes with our recruiting team. We’ll learn about your background, and you’ll learn about the mission.
• Deep dive. A working session with one of our engineers, exploring the application semantics.
• Case study, in Dortmund. A visit to the lab, in person if you can make it or over Teams if you can’t.
• The offer. By now you’ve likely already met our CEO. This round is where we make it official: fast, transparent, and built around the mission.