Remote Cloud Reliability Lead — AI Ops & RAG

UnitedHealth Group

Minnetonka (MN)

Hybrid

USD 113,000 - 193,000

Full time

8 days ago
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Job summary

UnitedHealth Group is seeking a Lead Cloud Reliability Engineer to design, build, and scale AI Ops solutions with enterprise-grade reliability and security. You will lead globally distributed teams, own architecture for RAG pipelines, and ensure high availability of cloud environments.

The role allows remote work from anywhere in the U.S., with in-office minimums for certain locations. Qualifications include 8+ years in software/SRE, 3+ years Python/Terraform, 2+ years AI/ML in production, and

Qualifications

  • 8+ years of software eng/SRE in public cloud (GCP/AWS/Azure).
  • 3+ years of Python and Terraform development.
  • 2+ years delivering AI/ML or Generative AI in production.
  • 2+ years managing Kubernetes environments (EKS/AKS/GKE or self-hosted).
  • Available to work rotating 24x7 on-call shifts.

Responsibilities

  • Lead end-to-end design and implementation of AI Ops solutions with responsible AI practices.
  • Improve SRE practices; lead incident response; ensure high availability, scalability, and performance of cloud environments.
  • Automate Infrastructure & Operations using Terraform & GitHub Actions with best practices.
  • Define and own architecture for RAG pipelines, agentic workflows, tool calling, orchestration, and conversational context management.
  • Design, develop, and deploy AI-powered solutions addressing complex business challenges at enterprise scale.

Skills

SRE in public cloud
Python
Terraform
AI/ML production
Kubernetes (EKS/AKS/GKE)
On-call rotations

Education

Bachelor's degree in CS/SE or related field
8+ years equivalent experience

Tools

Terraform
Kubernetes
GitHub Actions

Job description

UnitedHealth Group is seeking a Lead Cloud Reliability Engineer to design, build, and scale AI Ops solutions with enterprise-grade reliability and security. You will lead globally distributed teams, own architecture for RAG pipelines, and ensure high availability of cloud environments.

The role allows remote work from anywhere in the U.S., with in-office minimums for certain locations. Qualifications include 8+ years in software/SRE, 3+ years Python/Terraform, 2+ years AI/ML in production, and

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