This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sagemaker DevOps Engineer based in Spain.

This is an excellent opportunity for an experienced DevOps professional to help build and optimize enterprise-scale machine learning infrastructure in a fully remote environment. In this role, you will design, automate, and maintain cloud-based MLOps solutions that enable seamless model development, deployment, and operations. Working at the intersection of DevOps and machine learning, you will create scalable platforms, improve development workflows, and enhance operational efficiency across AI initiatives. You will collaborate with cross-functional engineering teams to deliver reliable, secure, and automated cloud environments. This position offers the chance to work with modern AWS technologies while contributing to high-impact, enterprise-level projects. It is idóneo for professionals who enjoy solving complex infrastructure challenges and driving automation at scale.

Accountabilities
- Design, build,



and automate enterprise-grade AWS SageMaker environments to support scalable machine learning initiatives.
- Develop and implement DevOps automation for SageMaker Unified Studio and related cloud infrastructure.
- Configure and maintain SageMaker lifecycle configurations to improve development consistency and operational efficiency.
- Build and optimize CI/CD pipelines that enable users to deploy custom Docker images, kernels, and machine learning workloads.
- Develop monitoring, alerting, and cost-control mechanisms to ensure platform reliability, service availability, and efficient resource utilization.
- Implement MLOps automation for model deployment and infrastructure promotion across multiple environments.
- Collaborate with engineering and platform teams to continuously improve cloud architecture, deployment processes, and operational best practices.

Requirements
- 6+ years of profession

📌 Sagemaker DevOps Engineer (España)
🏢 Jobgether
📍 España