Description

You will manage cloud infrastructure and deployment pipelines to support data science and analytics workflows.

Responsibilities

• Build and maintain CI/CD tooling using Jenkins, Bitbucket Pipelines, or GitHub.
• Manage AWS services including EC2, S3, RDS, Lambda, SageMaker, and Glue to support data science functions.
• Implement solutions following the AWS Well-Architected Framework.
• Research and resolve technical problems within complex IT environments involving local and remote groups.
• Extract, analyze, and communicate technical findings to engineering teams and business audiences.

Required Skills

• 5+ years of experience in software development, data science, or DevOps functions.
• Proficiency in Python, SQL, and Web technologies.
• Hands-on experience with R, R packages, RStudio, RStudio Connect, and RStudio Package Manager.
• Experience with deep learning frameworks including TensorFlow and PyTorch.
• Expertise in data exploration using Base R.
• Direct experience with AWS services supporting analytics and data science.
• Proven ability to manage CI/CD pipelines and automation.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science