Platform Engineer Kubernetes - GenAI (H/F)

Job summary

The Platform Engineer / DevOps role builds, industrializes, and evolves a secure, scalable generative AI platform integrating large language models, AI agents, and information-system connectors. The work includes designing and operating Kubernetes infrastructure, automating deployments and environment provisioning, implementing GitOps practices, strengthening access security, and preparing the platform for increased scale and client-specific deployments.

Qualifications

• Experience in DevOps, platform engineering, or cloud-native infrastructure.
• Proficiency with Kubernetes and DevOps environments.
• Experience with automation and GitOps practices.
• Familiarity with Argo CD, Flux, RKE2, or Rancher is preferred.

Responsibilities

• Design, deploy, and evolve the Kubernetes foundation.
• Automate application and platform component deployments.
• Implement and improve GitOps practices.
• Automate environment provisioning and lifecycle management.
• Secure the platform and manage access.
• Support development teams integrating new features.
• Identify infrastructure needs and propose solutions.
• Contribute to architecture decisions and continuous improvement.
• Prepare the platform for increased scale and client-specific deployments.

Skills

Industry

Relocation