Lead Cloud Reliability Engineer - Remote

Optum Insight improves the flow of health data and information to create a more connected healthcare system. The Lead Cloud Reliability Engineer will design, build, and scale AI Ops and Site Reliability Engineering solutions, automate cloud infrastructure and operations, develop AI and RAG solutions, and provide technical leadership to globally distributed teams.

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

Requirements:

• 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 development
• 2+ years of experience managing Kubernetes environments (EKS, AKS, GKE)
• Available to work rotating 24x7 primary and secondary on-call shifts
• 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 production
• CI/CD (GitHub 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 with ability to explain complex technical concepts to diverse stakeholders