AI Platform Engineer (Getafe)

AI Platform Engineer (Getafe)

17 ago
|
922E Airbus Defence and Space
|
Getafe

17 ago

922E Airbus Defence and Space

Getafe

Job Description:

Airbus Defence & Space is looking for an AI Platform Engineer (MLOps) to build and scale high-performance computing infrastructure in high-security environments.

The selected candidate will join the Architecture & Integration team at CLAEX, in Torrejón de Ardoz Air Base. Their primary mission will be to design, operate, and evolve the Kubernetes platform dedicated to Artificial Intelligence, ensuring a stable, automated, and scalable working environment built on cutting-edge infrastructure (GPU).

We are looking for a specialist in Platform Engineering / MLOps who thrives on the challenges of critical infrastructure. We are not just looking for someone to maintain systems, but for a professional capable of building and automating complex computing environments in maximum-security scenarios (air-gapped or offline environments).

Key Responsibilities
- AI Platform Management: Design and administer Kubernetes environments optimized for Artificial Intelligence workloads.
- Infrastructure Automation: Implement Infrastructure as Code (IaC)



methodologies and continuous deployment models (GitOps) to ensure system reproducibility.
- High-Security Environment Operations: Manage air-gapped (isolated) infrastructures, ensuring local repository management, updates, and security without reliance on the public cloud.
- Computing Resource Optimization: Administer and prepare high-performance nodes with GPU acceleration for inference and training tasks.
- Storage and Network Architecture: Configure and maintain persistent storage systems and segmented networks to ensure data integrity and speed.
- Observability and Continuity: Implement advanced monitoring systems to ensure cluster health, GPU performance, and proactive incident detection.
- System Security: Apply hardening policies and access control to protect critical infrastructure.

Requirements
- Solid experience (3+ years) in DevOps, SRE, or Platform Engineering roles.
- Degree in Computer, Telecomunication

📌 AI Platform Engineer (Getafe)
🏢 922E Airbus Defence and Space
📍 Getafe

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