Description AWS Infrastructure Engineer 13 Week Contract to Hire Onsite Hybrid: Columbus, OH or Dallas, TX or Minneapolis, MN
Pay: Available on W2
Job SummaryWe 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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