Description:Looking for an employer you can count on? Join us!Senior AI Platform & Research Infrastructure Engineer (m/f/d)Your Role and.
Responsabilidades
:Design, develop, and operate a federated AI platform and model management environment for universities and research institutions.Develop web applications, APIs, backend services, and platform components for AI model lifecycle management.Build and integrate AI middleware, model registries, API gateways, authentication services, and multi-tenant platform capabilities.Implement governance, approval, deployment, monitoring, and automation workflows for AI services and models.Develop and operate Kubernetes-based cloud-native infrastructure, including CI/CD, monitoring, logging, and automation.Collaborate with research partners, platform operators, and stakeholders in a national research infrastructure environment.Your
Calificaciones
:Required/Minimum QualificationsMaster's degree (or equivalent) in Computer Science, Software Engineering, Artificial Intelligence, or a related field. Other
Requisitos
Professional experience in software engineering and distributed systems.Strong programming
Habilidades
in Python, Go, or similar technologies.Experience with APIs, databases, cloud-native technologies, containers, and Kubernetes.Knowledge of authentication, authorization, identity management, and DevOps practices.Strong analytical, communication, and collaboration skills.Professional proficiency in English. Additional or Preferred Qualifications:Experience with AI platforms, LLMs, machine learning infrastructure, or model serving.Knowledge of multi-tenant platforms, API gateways, federated IAM, and OpenAI-compatible APIs.Experience with CI/CD, infrastructure automation, and platform operations.Familiarity with metadata standards, FAIR principles, or research infrastructures.Experience in higher education, research, public-sector, or open-source environments.Conditions:Working timefull time (40 hrs)flexible working model with e...