AI Platform Engineer

Airbus Defence & Space is looking for an AI Platform Engineer (MLOps) to build and scale high-performance computing infrastructure in high-security environments. TADMC provides full engineering and software support for CLAEX’s Operational Flight Programs (OFP) and in-service aircraft fleets . The selected candidate will join the Architecture & Integration team (TADMC2) 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)., + 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.

• Solid experience (3+ years) in DevOps, SRE, or Platform Engineering roles.
• Degree in Computer, Telecomunications, 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. This is useful since the LLM training and inference is targeted at supporting Military Avionics development and most of the task would be related to military Avionics.
• 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., This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:

• Vacation days plus additional days-off along the year.
• Attractive salary.
• Hybrid model of working when possible, promoting the work-life balance.
• Collective transport service in some sites.
• Benefits such as health insurance, employee stock options, retirement plan, or study grants.
• On-site facilities (among others): free canteen, kindergarten, medical office.
• Possibility to collaborate in different social and corporate social responsibility initiatives.
• Excellent upskilling opportunities and great development prospects in a multicultural environment., By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking. Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies., Ebury Madrid Volver a la última búsqueda Trabajos ) Comunidad de Madrid ) Madrid ) AI Platform Engineer ( volver a la última búsqueda Recibir ofertas similares por correo electrónico No gracias, llévame a la oferta de empleo Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies. Inscribirse en esta oferta

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