ppAirbus 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. /p pThe 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). /p h3Key Responsibilities /h3 ul liAI Platform Management: Design and administer Kubernetes environments optimized for Artificial Intelligence workloads. /li liInfrastructure Automation: Implement Infrastructure as Code (IaC) methodologies and continuous deployment models (GitOps) to ensure system reproducibility. /li liHigh‑Security Environment Operations: Manage air‑gapped (isolated) infrastructures, ensuring local repository management, updates, and security without reliance on the public cloud. /li liComputing Resource Optimization: Administer and prepare high‑performance nodes with GPU acceleration for inference and training tasks. /li liStorage and Network Architecture: Configure and maintain persistent storage systems and segmented networks to ensure data integrity and speed. /li liObservability and Continuity: Implement advanced monitoring systems to ensure cluster health, GPU performance, and proactive incident detection. /li liSystem Security: Apply hardening policies and access control to protect critical infrastructure.



/li /ul h3Requirements /h3 ul liSolid experience (3+ years) in DevOps, SRE, or Platform Engineering roles. /li liDegree in Computer, Telecommunications, Maths or Software Engineering. /li liProven experience working with container orchestration (Kubernetes). /li liExperience managing critical infrastructure or isolated environments (air‑gapped/offline). /li liAdvanced proficiency in Python. /li liAdvanced proficiency in Linux operating systems and network administration. /li liExperience in deployment automation (Ansible, Terraform, or similar tools). /li liAbility to work with modern deployment methodologies (GitOps). /li liB2 level in English. /li /ul h3Preferred Qualifications /h3 ul liMilitary 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. /li liPrevious experience managing infrastructure for Artificial Intelligence (NVIDIA/CUDA driver management). /li liKnowledge of distributed storage solutions and private image registry management. /li liOfficial Kubernetes certifications (CKA/CKS). /li liInterest in working on defense projects and cutting‑edge technology within high‑security environments.



/li /ul h3Benefits /h3 ul liVacation days plus additional days‑off throughout the year. /li liAttractive salary. /li liHybrid model of working when possible, promoting work‑life balance. /li liCollective transport service in some sites. /li liBenefits such as health insurance, employee stock options, retirement plan, or study grants. /li liOn‑site facilities (among others): free canteen, kindergarten, medical office. /li liPossibility to collaborate in different social and corporate social responsibility initiatives. /li liExcellent upskilling opportunities and great development prospects in a multicultural environment. /li liSpecial rates in products benefits. /li /ul pThis 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. /p pAirbus 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 /p pBy 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. /p /p #J-18808-Ljbffr

📌 AI Platform Engineer (Getafe)
🏢 Airbus Defence And Space
📍 Getafe