Description

Manage and maintain infrastructure and machine learning workflows to ensure system reliability and performance.

Responsibilities

• Implement and maintain Infrastructure as Code and build pipelines.
• Manage machine learning workflows and data flows using SageMaker and Rubix.
• Fix and support issues for Data Lab to minimize on-call incidents.
• Conduct post-incident reviews and document issue resolutions and undocumented knowledge.
• Collaborate with development teams to ensure new features meet reliability and performance goals.

Required Skills

• 5+ years of experience in Site Reliability Engineering.
• Proficiency in Python scripting.
• Hands-on experience with Kubernetes.
• Experience managing Machine Learning workflows, preferably with SageMaker.
• Experience with Rubix and machine learning data flows.
• Experience using Jupyter Notebooks.
• Ability to work with geographically distributed teams.
• Experience supporting Data Lab environments.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Grdauate