SageMaker DevOps Engineer (Remote, Ireland)

About the role

We are seeking a technically strong SageMaker DevOps Engineer to join an innovative, fast‑paced technology environment. You will work remotely from Ireland, collaborating with cross‑functional teams to build and optimise scalable MLOps and DevOps solutions on AWS SageMaker, driving enterprise‑scale AI transformation.

Key responsibilities

• Design, implement and automate enterprise‑grade AWS SageMaker environments and related infrastructure.
• Develop DevOps automation frameworks to support scalable machine‑learning operations.
• Configure and maintain SageMaker lifecycle policies for reliable ML environments.
• Build and manage CI/CD pipelines for custom Docker images, kernels and ML workloads.
• Create monitoring, alerting and cost‑control mechanisms for SageMaker services.
• Support MLOps initiatives by automating model deployment and environment promotion.
• Collaborate with engineering, DevOps and data teams to improve operational workflows and system reliability.
• Continuously enhance scalability, performance and security following cloud best practices.

Required profile

• 6+ years of experience in DevOps, Cloud Engineering, MLOps or related technical roles.
• Expert‑level knowledge of AWS services and strong proficiency in Python programming.
• Hands‑on experience with AWS SageMaker and machine‑learning infrastructure.
• Proven track record building enterprise‑scale DevOps automation and cloud deployment solutions.
• Strong understanding of CI/CD concepts, infrastructure automation and cloud‑native architectures.
• Excellent communication and collaboration skills in remote, cross‑functional environments.

Required skills

• AWS (especially SageMaker)
• Python
• Amazon SageMaker
• CI/CD pipelines
• Jenkins
• Docker and containerised environments
• MLOps practices

What we offer

• Remote‑first work environment