Lead Cloud Reliability Engineer - Remote

Job d:

Location:

Minnetonka, Minnesota, United States Salary: $112,700 - $193,200/year

Job Area:
Technology Company:
United Health Group Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives?  

Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

The Optum Insight Engineering team is seeking a Lead Cloud Reliability Engineer with Site Reliability Engineering (SRE) experience to design, build, and scale modern AI Ops solutions across payer and provider transformation initiatives. This is a hands-on technical leadership role requiring deep involvement in architecture and engineering while leading globally distributed teams. The role focuses on delivering SRE Process automation, Infrastructure as code, AI, and Retrieval Augmented Generation (RAG) solutions with enterprise-grade reliability, security, and responsible AI practices.

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

Automate Infrastructure & Operations:
Develop Infrastructure as Code using Terraform, Python, Cloud Infrastructure while adhering to SRE best practices

Automate SRE practices;
Lead incident response;
Ensure high availability, scalability, and performance of cloud environments through automation

Lead end-to-end design and implementation of Automated Ops solutions from concept through production with an emphasis on responsible AI practices

Design, code, test, and operate software using Python or Node.js Design, develop, and deploy AI-powered solutions to address complex business challenges across enterprise scale using RAG based solutions

Work closely with development and SRE teams to improve system design, advocate for reliability, and mentor fellow engineers

Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous operational efficiency

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

8+ years of overall software engineering and Site Reliability Engineering (SRE) experience in a public cloud environment (GCP, AWS, Azure)3+ years of demonstrated hands-on automation experience with Python and Terraform based development2+ years of experience managing Kubernetes environments (EKS, AKS, GKE)
Available to work rotating 24x7 primary and secondary on-call shifts

Preferred Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or 8+ years of equivalent software engineering experience in lieu of degree)2+ years delivering AI/ML or Generative AI solutions in productionCI/CD (Git Hub Actions preferred) & Infrastructure as Code experience with Terraform Hands-on experience with cloud infrastructure automation, observability tools, and SRE best practices for AI workloads

Experience leading globally distributed technical teams

Proven experience building Retrieval Augmented Generation (RAG) pipelines, Agentic AI, or multi-step AI workflows

Proven effective communication skills…