AWS Infrastructure Engineer

Heitmeyer Consulting; Columbus (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

Heitmeyer Consulting is seeking a skilled Platform Engineer based in Columbus, Ohio, to join our Platform team. The role focuses on building and maintaining infrastructure that empowers Data Science and AI/ML teams. Key responsibilities include managing AWS environments, enhancing the image management lifecycle, and developing CI/CD pipelines.

The ideal candidate will have a Bachelor's degree in Computer Science and at least 2 years of experience supporting Data Science infrastructure, along with hands-on expertise in AWS services. This position is crucial for advancing our Data Science capabilities.

Qualifications

• 2+ years of experience supporting Data Science infrastructure.
• Experience with AWS-based services for Data Lake and AI/ML.
• Hands-on with CI/CD tools and Infrastructure as Code.

Responsibilities

• Maintain and support Data Science infrastructure operations.
• Design and deploy AWS environments using CI/CD pipelines.
• Administer and support databases such as Athena and MySQL.

Skills

AWS services

Python

Infrastructure as Code (IaC)

CI/CD tools

Kubernetes

Database management

Education

Bachelor’s degree in Computer Science or related discipline

Tools

Terraform

AWS (SageMaker, Glue, Lambda, Athena)

Azure DevOps

Docker

Job description

Summary:

We are looking for a skilled Platform Engineer to join our Platform team, supporting and advancing our Data Science platform. This role focuses on building, maintaining, and scaling infrastructure that empowers Data Science and AI/ML teams.

Key Responsibilities:

• Maintain and support ongoing Data Science infrastructure operations.
• Design, build, and deploy AWS environments using CI/CD pipelines to support a growing Data Science organization.
• Manage and scale platform environments to meet evolving business and technical needs.
• Own and enhance the image management lifecycle, ensuring consistency and reliability across environments.
• Set up and manage AWS accounts dedicated to Data Science workloads.
• Develop and maintain CI/CD pipelines using tools such as Azure DevOps.
• Implement and manage infrastructure using Infrastructure as Code (IaC) tools like Terraform.
• Write and maintain scripts and applications, primarily using Python.
• Administer and support databases including Athena, Oracle, MySQL, and PostgreSQL.
• Leverage AWS services to support Data Lake, Data Science, and AI/ML initiatives.
• Troubleshoot and resolve issues raised by development and business teams.
• Enforce infrastructure security, including guardrails, policies, and compliance controls.
• Address vulnerabilities within defined SLAs and maintain audit logs.
• Perform system upgrades, patching, and provide on‑call support as needed.
• Conduct root cause analysis and share findings with internal teams.
• Collaborate with cross‑functional teams including Network, Database, Infrastructure, and Architecture.

Basic Qualifications:

• Bachelor’s degree in Computer Science or a related discipline.
• 2+ years of experience supporting Data Science infrastructure.
• 2+ years of hands‑on experience with AWS‑based Data Lake, Data Science, and AI/ML services.
• Working knowledge (2+ years) of:
  • Kubernetes
  • AWS services (e.g., SageMaker, Glue, Lambda, Athena)
  • CI/CD tools such as Azure DevOps
  • Infrastructure as Code tools such as Terraform
  • Containerization technologies including Docker and ECR
  • Security tools such as Aqua and Kenna
• Experience producing technical documentation and write‑ups.

Preferred Qualifications:

• AWS and/or Terraform certifications; Kubernetes certification (e.g., CKA) is a plus.
• Familiarity with service management practices and product lifecycle management.
• Proficiency in Python and shell scripting.
• Strong knowledge of database systems such as Athena, Oracle, and MySQL.
• Advanced experience with CI/CD and IaC tools, particularly Azure DevOps and Terraform.