platform engineer for sovereign AI platforms

No description

• Design, automate, and operate AI platforms with Kubernetes, IaC, and GitOps, covering networking, security, and CI/CD;
• Integrate and configure AI components such as LLM serving, RAG pipelines, and vector databases;
• Optimize platform performance and costs;
• Own observability through monitoring, logging, and tracing in productive environments;
• Ensure security through secrets management, certificates, SSO/IAM, and hardening;
• Collaborate with DevOps, architects, and AI teams and make technology decisions about platform components;
• Build and further develop a managed service for platform operations, including SLIs/SLOs, on-call, and incident processes.

• Several years of DevSecOps or platform engineering experience in productive environments;
• Very good knowledge of Kubernetes, Python, and Infrastructure as Code, including Terraform, Ansible, or similar tools;
• Experience operating distributed systems with multi-service orchestration, observability, and security hardening;
• Initial or advanced experience with AI platform components, including LLM inference, RAG, vector databases, and frameworks such as Langchain, Pydantic, and FastAPI;
• Motivation to actively shape sovereign AI platforms and learn new technologies quickly;
• German and English at least C1.

• The position is available part-time as well as full-time;
• Flexible working-time and time-off models;
• Mobile work options, including hybrid work from home;
• Job bike program;
• Mobility budget;
• Professional training and development opportunities;
• International network;
• Cooperation with pme Familienservice;
• Deferred compensation;
• Extended continued pay in case of illness;
• Health programs;
• Employee discounts;
• Team and sports events;
• A permanent employment contract includes the GetStarted onboarding program during the first 12 months.