Level: Experienced

Job Field: IT, Software, DevOps

Employment Type: Full Time

Contract Type: Permanent employment

Location: Immenstaad am Bodensee

Working Model: Onsite

Job Summary

In this role, you will develop MLOps platforms, build Kubernetes clusters, integrate machine learning pipelines, and optimize CI/CD workflows for military AI applications.

Job Technologies

Your role in the team

In the department of "Operational Analysis and Studies," we develop cutting-edge military simulation environments, AI techniques (including Deep Reinforcement Learning), as well as agentic data fusion and multi-agent solutions for ISR for the Bundeswehr, NATO, and the EU.
To efficiently train and operate our AI models, we are building highly available, scalable cloud and MLOps infrastructures.
In this role, you form the central interface between infrastructure and AI development.
Platform & Cluster Operations: Building, scaling, and maintaining stable operation of Kubernetes clusters (e.g., MicroK8s, Vanilla K8s) in development environments as well as in client-side air-gapped environments.
Infrastructure Automation: Consistent use of Infrastructure as Code (Terraform, Ansible, Helm) and development of automated CI/CD and GitOps pipelines (e.g., with GitLab).
MLOps Integration: Seamless integration of machine learning pipelines and AI training runs into the cloud infrastructure to support data scientists.
Observability & DevSecOps: Setting up centralized monitoring and logging (Prometheus, Grafana, Loki) as well as direct integration of security and IAM standards (e.g., Keycloak, Vault) into the pipelines.
Agile collaboration: Close coordination and cooperation within an agile, interdisciplinary team of software developers, data scientists, and external partners.

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Our expectations of you

Education

Completed university degree (Bachelor/Master) in Computer Science, Software Engineering, Business Informatics, or a comparable qualification, as well as 2 to 5 years of practical experience in Platform Engineering, Cloud Architecture, or DevOps.

Qualifications

Solid knowledge of Kubernetes and container environments (Docker, Helm, K8s architecture).
Experienced handling of Linux systems, shell scripting, CI/CD pipelines (e.g., GitLab CI), and IaC tools (Terraform, Ansible).
Fluent German and English skills, structured problem-solving competence, and enjoyment of knowledge sharing within the team.

Experience

Good knowledge of Python and preferably initial experience with MLOps frameworks, secret management (Vault), and authentication services (Keycloak, OIDC).

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What we offer

This position is also available with reduced weekly working hours and an adjusted scope of responsibilities.
Attractive compensation and personalized additional benefits, e.g., company pension schemes, mobility offers (e.g., bike leasing), or employee advantages with partner companies in accordance with our current policies.
30 days of annual leave according to collective agreement (35h/week); work-life balance (flexible working hours, remote work, part-time, job sharing, sabbatical).
Excellent opportunities for further training and international, company-wide development prospects.
Company doctor; comprehensive health services (sports courses, prevention programs, and more), canteen and cafeteria, on-site childcare facility.