Cloud Platform Engineer for AI & Simulation | Cloud Platform Engineer (m/w/d) KI & Simulation AIRBUS
Orizon GmbH, Unit Aviation
Job Summary
As a Cloud Platform Engineer at Airbus Defence and Space, you will be responsible for the architecture, maintenance, and scaling of Kubernetes clusters to support cutting-edge AI and simulation projects. Your day-to-day activities involve designing automated CI/CD pipelines using GitOps strategies, implementing Zero Trust security architectures, and managing secrets with tools like HashiCorp Vault. You will play a critical role in automating infrastructure through Infrastructure as Code (IaC) and ensuring system reliability via comprehensive monitoring and logging systems like Prometheus and Grafana. The position requires a high level of technical expertise to integrate security compliance, manage identity access (IAM), and apply MLOps principles for AI applications. This role is particularly attractive for professionals seeking to work on high-impact aerospace and defense projects, offering the opportunity to collaborate with international teams and work on air-gapped solutions in a permanent, full-time capacity.
Required Skills
Education
Degree in Computer Science, Electrical Engineering, or a related field, with a specialization in Artificial Intelligence or Simulation.
Experience
- Long-term professional experience in IT and Information Systems
- Extensive experience with Docker, Linux containers, and cloud technologies
- Proven experience in Kubernetes cluster management and Helm
- Experience in implementing CI/CD pipelines and GitOps workflows
- Professional background in Infrastructure as Code and Secret Management
- Experience in monitoring, logging, and IAM solutions
- Experience in simulation-based research projects or AI environments is preferred
Languages
Additional
- Willingness to travel for on-site installations of air-gapped solutions at customer locations; ability to coordinate work packages including scope, time, and cost estimations.
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