Platform Engineer Data Science Infrastructure

Platform Engineer Data Science Infrastructure

Location: Columbus OH Dallas TX Tupelo MS Minneapolis MN
Employment Type: Contract / Contract-to-Hire

Job Summary

STAFFXPERT LLC is seeking a Platform Engineer on behalf of our client in Columbus OH Dallas TX Tupelo MS and Minneapolis MN.

We are looking for both junior and senior-level professionals with strong experience in Data Science Infrastructure and cloud platform engineering. This role will support and enhance enterprise-scale Data Science and AI/ML environments hosted on AWS. The ideal candidate will have hands-on expertise in cloud infrastructure CI/CD automation Kubernetes Terraform and AWS Data Science services.

Key Responsibilities

• Support ongoing Data Science Infrastructure operations and platform stability.

• Develop deploy and manage AWS environments using CI/CD pipelines and Infrastructure as Code (IaC).

• Build and maintain scalable environments to support growing Data Science and AI/ML teams.

• Manage image lifecycle processes and platform standardization initiatives.

• Configure and manage AWS accounts and cloud resources for Data Science platforms.

• Implement and maintain CI/CD workflows using Azure DevOps or similar tools.

• Develop and maintain infrastructure automation using Terraform.

• Create scripts and automation tools using Python and shell scripting.

• Manage and support database technologies including Athena Oracle MySQL and PostgreSQL.

• Utilize AWS services supporting Data Lake Data Science and AI/ML workloads including SageMaker Glue Lambda and Athena.

• Troubleshoot infrastructure issues resolve vulnerabilities and support secure cloud operations.

• Apply security controls guardrails patching and audit logging practices across environments.

• Participate in root cause analysis documentation and knowledge transfer activities.

• Collaborate with cross-functional teams including Networking Database Infrastructure and Architecture teams.

• Provide on-call support and assist with system upgrades and maintenance activities as needed.

Required Qualifications

• Bachelors degree in Computer Science Information Technology or a related field.

• 2 years of experience supporting Data Science Infrastructure environments.

• 2 years of hands-on experience with AWS-based Data Lake AI/ML and Data Science platforms.

• Strong experience with Kubernetes and containerized environments.

• Hands-on expertise with AWS services such as SageMaker Glue Lambda Athena and ECR.

• Experience with CI/CD tools such as Azure DevOps.

• Experience with Infrastructure as Code tools such as Terraform.

• Proficiency with Docker and container management.

• Experience working with security and vulnerability management tools.

• Knowledge of scripting/programming languages such as Python and Shell scripting.

• Experience with technical documentation and operational procedures.

• Strong troubleshooting communication and collaboration skills.

Preferred Qualifications

• AWS Terraform Kubernetes or CKA certifications preferred.

• Familiarity with technical service management and product lifecycle maintenance.

• Advanced knowledge of cloud security and infrastructure best practices.

• Experience managing enterprise-scale AWS infrastructure environments.

• Strong understanding of database technologies including Oracle MySQL PostgreSQL and Athena.