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AI Infrastructure Engineer

Aaliyah Okafor

Full-time · Job · Chicago

About the role

Kubernetes, Docker, and multi-cloud deployment are the backbone of what our personalization team ships every day. We believe recommendation systems should respect user privacy by design, not as an afterthought, and our infrastructure needs to reflect that at every layer. You'll be the engineer who keeps our model-serving infrastructure fast, reliable, and portable across cloud providers as the team scales.

Responsibilities

  • Maintain and scale multi-cloud infrastructure for model serving
  • Optimize container deployment across AWS, GCP, and Azure
  • Build monitoring and alerting for infrastructure reliability
  • Support data scientists deploying new recommendation models
  • Document infrastructure decisions for the wider team

Requirements

  • 3+ years in infrastructure or platform engineering
  • Strong hands-on experience with Kubernetes and Docker
  • Familiarity with at least two of AWS, GCP, or Azure
  • Comfortable supporting a fast-moving data science team
  • Interest in privacy-conscious infrastructure design

Benefits

  • Fully remote position
  • Competitive salary
  • Health and dental insurance
  • Flexible PTO
  • Home office stipend

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Categories

MLOps & AI Infrastructure

Skills

kubernetes docker aws gcp azure

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Job Type

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Level

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Language

English

Salary Range

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AI Expertise

MLOps & AI Infrastructure

Skills

kubernetes docker aws gcp azure

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