Overview
Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación.
In this role, you will help design and scale AI infrastructure on AWS as part of ADPs Spark team. You will work with engineering, product, data science, and platform groups to build reliable, secure, and cost-efficient AI platforms and deployment pipelines. This position emphasizes governance, observability, and FinOps to drive operational excellence at scale. You’ll shape AI development tooling and improve developer experience, contributing to a mission of AI-enabled products and operations.
Responsabilidades
Design, build, and maintain AI infrastructure and platform services in AWS
Develop and improve CI/CD pipelines, deployment automation, observability, and monitoring for AI/ML systems
Support AI governance, evaluation, scalability, and operational excellence
Apply FinOps practices to optimize AI infrastructure and model-related costs




Collaborate with cross-functional teams to improve developer experience and platform capabilities
Contribute to technical best practices and support knowledge sharing across the team
Requisitos principales
Bachelors degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related field
Experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or related area
Strong knowledge of AWS services (EC2, S3, IAM, Lambda, ECS/EKS, xqbhyrx SageMaker, Bedrock, CloudWatch)
Experience with CI/CD pipelines, Docker, Infrastructure as Code, and platform operations
Familiarity with MLOps/AIOps practices, model deployment, observability, and LLM evaluation frameworks
Strong communication skills in English
strong communication
collaboration
cross-functional teamwork
AWS services (EC2, S3, IAM, Lambda, ECS/EKS, SageMaker, Bedrock, CloudWatch)
CI/CD pipelines
Docker

📌 Senior AI Operations Engineer (Barcelona)
🏢 Adp - Automatic Data Processing
📍 Barcelona