Sagemaker DevOps Engineer - Europe
Dónde está disponible este puesto
Plegado de forma predeterminada para que la descripción sea fácil de leer.
- Remoto, Europe
- Remoto, Rumanía
Resumen del puesto por JobGrid
Sagemaker DevOps Engineer - Europe at Xenon7: Remoto, Europe, Remoto, Rumanía; Contrato. This listing is part of JobGrid's Empleos remotos de software engineer en páginas de empresas. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remoto, Europe, Remoto, Rumanía
- Role classification: Contrato
- Source freshness: checked by JobGrid on 2026-05-29.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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+ years
Employment Type: (Contractor/Full-time)
Overview
The Sagemaker DevOps Engineer acts 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.
Responsibilities
- Build DevOps automations to setup Sagemaker Unified Studio for enterprise
- Implement Sagemaker Lifecycle configurations
- Create CICD pipelines for end-users to deploy custom Docker images & Kernels in Sagemaker
- Build alert & monitoring capabilities for Sagemaker projects to control costs and service quotas
- MLOps automations for model and infrastructure deployments to higher environments