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Santander UK is seeking a GCP DevOps Engineer based in Madrid to play a key role in the design, development, and deployment of AI solutions, focusing on building and maintaining the infrastructure necessary for AI lifecycle management. The ideal candidate should possess strong experience in DevOps, cloud environments, and machine learning workloads, along with a proactive attitude and excellent communication skills.
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Job Summary
Design, implement, and manage robust CI/CD pipelines for AI/ML models and GenAI applications.
Build and maintain cloud-native infrastructure (GCP) to support the full AI lifecycle—from data ingestion and model training to production deployment and monitoring.
Implement a robust FinOps strategy across the entire stack to ensure proper cost attributions and traceability across the entire infrastructure.
Matching Summary
Match Score: 75
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Santander UK is seeking a GCP DevOps Engineer based in Madrid to play a key role in the design, development, and deployment of AI solutions, focusing on building and maintaining the infrastructure necessary for AI lifecycle management. The ideal candidate should possess strong experience in DevOps, cloud environments, and machine learning workloads, along with a proactive attitude and excellent communication skills.
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Skills & Requirements
Must-have
GCP infrastructure management
CI/CD pipelines for AI/ML
Infrastructure as Code (Terraform)
FinOps strategy implementation
Cloud networking and security
MLOps best practices
Python, Bash, Go scripting
Nice-to-have
Continuous learning culture
Collaboration with technical teams
Proactive risk management
Customer-centric transformation
Key Requirements
5+ years of experience in DevOps/SRE/Platform Engineering
Experience supporting ML/AI workloads
Hands-on experience with containerization (Docker, Kubernetes)
Strong background in managing cloud environments (AWS or GCP)