Job Information
Robert Half Platform Engineer in Minnetonka, Minnesota
Description
AWS Infrastructure Engineer
13 Week Contract to Hire
Onsite Hybrid: Columbus, OH or Dallas, TX or Minneapolis, MN
Pay: Available on W2
Job Summary
We are seeking an experienced Platform Engineer to join a growing Platform Engineering team responsible for supporting and evolving a modern Data Science platform. This role focuses on building, managing, and securing cloud-based infrastructure that enables Data Science and AI/ML teams to operate efficiently at scale. The ideal candidate brings strong AWS expertise, hands-on infrastructure automation experience, and the ability to collaborate across technical and business teams.
Key Responsibilities
Support and maintain ongoing Data Science infrastructure operations
Design, build, and deploy AWS environments using automated CI/CD pipelines
Manage and scale large, secure cloud environments to support current and future Data Science initiatives
Implement, own, and improve the image management lifecycle process
Assist with the setup and ongoing management of AWS accounts dedicated to the Data Science platform
Develop and maintain infrastructure pipelines using CI/CD tools (e.g., Azure DevOps)
Build and manage environments using Infrastructure as Code (IaC) tools such as Terraform
Develop scripts and applications using programming languages such as Python
Manage and support database technologies including Athena, Oracle, MySQL, and PostgreSQL
Leverage AWS services to enable Data Lake, Data Science, and AI/ML workloads
Respond to requests from development and business users, removing technical roadblocks
Manage secured infrastructure environments, applying security controls and guardrails
Identify, remediate, and track infrastructure vulnerabilities within defined SLAs
Maintain audit logs and support compliance-related needs
Perform system upgrades, patching, and provide on-call support as required
Conduct root cause analysis and knowledge transfer sessions with internal teams
Collaborate closely with Network, Database, Infrastructure, and Architecture teams to align on platform strategy and delivery
Requirements
Basic Qualifications
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
2+ years of experience supporting Data Science infrastructure
2+ years of hands-on experience with AWS-hosted Data Lake, Data Science, or AI/ML platforms
2+ years of working knowledge with the following technologies:
Kubernetes
AWS services such as SageMaker, Glue, Lambda, Athena
CI/CD tools such as Azure DevOps
Infrastructure as Code tools such as Terraform
Container technologies including Docker and Amazon ECR
Security tools such as AQUA and Kenna
Experience producing technical documentation and written solutions
Preferred Qualifications
AWS, Terraform, or Kubernetes certifications (e.g., CKA)
Familiarity with technical service management and product lifecycle maintenance
Experience with scripting and programming languages such as Python and shell scripting
Strong working knowledge of database technologies including Athena, Oracle, and MySQL
Advanced experience with CI/CD and IaC tools, particularly Azure DevOps and Terraform
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