platform engineer for sovereign AI platforms

Описание:

No description

Задачи:

• 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.

Требования:

• 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.

Условия:

• 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.