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# Sagemaker Devops Engineer - Europe

- **Company:** Xenon7
- **Location:** Málaga, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Machine Learning Operations, Docker, Jenkins
- **Published:** August 9, 2026
- **Apply:** https://www.buscojobs.com.es/sagemaker-devops-engineer-europe-en-malaga-ID-365795521

## About the Role

From 6+ years of experience in a relevant role
Expert level in AWS and Python
Working knowledge with Sagemaker
Experience building DevOps automations for enterprise
Preferred to have experience building Jenkins pipelines
Preferred to have experience with MLOps automations

## Description

Where elite tech talent meets world-class opportunities!At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.Location:Remote (Europe)Experience:6+ yearsEmployment Type:(Contractor/Full-time)OverviewTheSagemaker DevOps Engineeracts as the bridge between standard infrastructure and the specialized needs of Machine Learning (ML). Your primary goal is to take the "manual" out of ML. You will be responsible for architecting the environment (SageMaker), ensuring it scales across an enterprise, and automating the journey a model takes from a developer's laptop to a production environment.ResponsibilitiesBuild DevOps automations to setup Sagemaker Unified Studio for enterpriseImplement Sagemaker Lifecycle configurationsCreate CICD pipelines for end-users to deploy custom Docker images & Kernels in SagemakerBuild alert & monitoring capabilities for Sagemaker projects to control costs and service quotasMLOps automations for model and infrastructure deployments to higher environmentsFrom 6+ years of experience in a relevant roleExpert level in AWS and PythonWorking knowledge with SagemakerExperience building DevOps automations for enterprisePreferred to have experience building Jenkins pipelinesPreferred to have experience with MLOps automations


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