Cloud Platform Engineer (m/w/d) KI & Simulation AIRBUS
Core
Building, maintaining, and scaling Kubernetes clusters for AI and simulation projects within the aerospace and defense sector.
Role type
Senior Cloud Platform Engineer (Kubernetes & MLOps)
Builds
Production-grade Kubernetes clusters, CI/CD pipelines, and monitoring systems for AI/simulation workloads.
Domain
Aerospace & Defense, Cloud Infrastructure, MLOps
Deliverable
production ML models | infrastructure
Required skills
Kubernetes (Cluster Management, Helm, RBAC), Docker, Linux, Python, Shell Scripting, CI/CD (GitLab, Jenkins), GitOps, Infrastructure as Code, Monitoring & Logging (Prometheus, Grafana), IAM (Keycloak, LDAP/OIDC), Secret Management (HashiCorp Vault)
Preferred skills
MLOps principles, Microservices architecture, Air-Gapped environment deployment
Responsibilities
Design and implement automated CI/CD pipelines with security and compliance checks; Define and maintain deployment manifests in Git repositories; Automate environment configuration using IaC tools; Develop and implement test strategies for unit, integration, and end-to-end tests; Coordinate in simulation-based study and research projects; Create scope, time, and cost proposals for work packages.
Seniority
Senior, hands-on IC
