AI Platform Engineer

About the Role

Airbus Defence & Space is seeking an experienced AI Platform Engineer (MLOps) to join the Architecture & Integration team at CLAEX, Torrejón de Ardoz Air Base. Your primary mission will be to design, operate, and evolve a Kubernetes platform dedicated to Artificial Intelligence. You will ensure a stable, automated, and scalable working environment leveraging cutting-edge infrastructure, including GPUs.

This role requires a specialist in Platform Engineering / MLOps who is adept at managing critical infrastructure, building, and automating complex computing environments within maximum-security scenarios, including 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, Telecommunications, Maths, or Software Engineering.
• Proven experience working with container orchestration (Kubernetes).
• Experience managing critical infrastructure or isolated environments (air-gapped/offline).
• Advanced proficiency in Python.
• Advanced proficiency in Linux operating systems and network administration.
• Experience in deployment automation (Ansible, Terraform, or similar tools).
• Ability to work with modern deployment methodologies (GitOps).
• B2 level in English.

Preferred Qualifications

• Military Avionics and embedded/Real-Time Software knowledge is desirable, particularly as LLM training and inference will support Military Avionics development.
• Previous experience managing infrastructure for Artificial Intelligence (NVIDIA/CUDA driver management).
• Knowledge of distributed storage solutions and private image registry management.
• Official Kubernetes certifications (CKA/CKS).
• Interest in working on defense projects and cutting-edge technology within high-security environments.

Benefits and Culture

As an Airbus employee, you will benefit from:

• Vacation days plus additional days-off.
• Attractive salary.
• Benefits such as health insurance, employee stock options, retirement plan, or study grants.
• On-site facilities including a free canteen, kindergarten, and medical office.
• Opportunities to collaborate in social and corporate social responsibility initiatives.
• Excellent upskilling and development prospects in a multicultural environment.
• Special rates on products and benefits.

Airbus is committed to employee welfare, workforce diversity, and fostering an inclusive working environment. We support flexible working arrangements to stimulate innovative thinking.