Senior Software Engineer, Cloud Platform - Remote

UnitedHealth Group•Eden Prairie, MN

6d•$91,700 - $163,700•Remote

About The Position

Optum’s Cloud Platform Engineering team builds reusable software and platform capabilities that enable secure infrastructure across Microsoft Azure and Amazon Web Services. This senior role combines advanced Infrastructure as Code development, cloud architecture, operational ownership, and technical mentoring. The platform uses Terraform composition, reusable multi-cloud abstractions, internal SDKs and libraries, code generation, automated testing, and policy controls to manage thousands of cloud resources. The engineer will own shared modules and frameworks, lead technical delivery, mentor engineers, and apply AI-assisted and agentic engineering practices to improve platform delivery and operations. The position is remote from anywhere in the United States. Hires in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. The role participates in a weekly on-call rotation and leads or coordinates significant incidents, root-cause analysis, and corrective actions.

Requirements

At least 5 years of software engineering, platform engineering, cloud engineering, or equivalent practical experience.
Production development experience in Java, C#, TypeScript, or another comparable general-purpose programming language, including design, automated testing, debugging, algorithmic reasoning, and code-review leadership.
Advanced Terraform experience with reusable module architecture, composition, complex iteration and dynamic patterns, state strategies, testing, policy controls, and CI/CD delivery.
Deep expertise in at least three to four cloud infrastructure domains in Azure or AWS: networking, DNS, IAM, certificates/PKI, private and hybrid connectivity, and Kubernetes. Equivalent depth in both providers is not required.
Ability to design maintainable abstractions, reason about complex dependency graphs, and evolve shared frameworks without destabilizing consumers.
Experience mentoring individual engineers and leading technical delivery across multiple contributors.
Ability to participate in weekly on-call rotations, coordinate significant incident response, and lead root-cause and corrective-action work.
Experience improving Agile refinement, story quality, technical documentation, operational readiness, and delivery flow.
United States citizenship.

Nice To Haves

Relevant Azure or AWS certification; associate, professional, or specialty credentials are appropriate, though demonstrated practical expertise is more important than certification alone.
Experience with multi-cloud platform frameworks managing hundreds or thousands of resources, including internal libraries, code generation, or custom policy frameworks.
Experience with GitLab CI/CD, Argo CD, CDK8s, AKS, EKS, Kubernetes networking, ingress, service mesh, or other Kubernetes and GitOps technologies.
Deep specialization in one or more of the listed cloud infrastructure domains.
Experience building MCP tools, agentic workflows, or solutions using Azure AI Foundry, AWS Bedrock AgentCore, LangGraph/LangChain, RAG, knowledge systems, or comparable AI engineering patterns.
Experience leading incident reviews and turning recurring failure modes into durable improvements in platform design, observability, testing, policy, or automation.

Responsibilities

Design, own, and evolve major Terraform modules, composition patterns, shared abstractions, internal SDKs, code-generation capabilities, test frameworks, and policy controls.
Lead architecture and design within an assigned platform domain, translating product and operational needs into secure, scalable, and supportable solutions.
Develop platform components in Java, C#, or TypeScript and integrate them with Terraform, cloud APIs, GitOps workflows, and cloud-native automation patterns where appropriate.
Apply advanced software engineering practices to complex frameworks, dependency graphs, APIs, reusable abstractions, testing strategies, and system design.
Lead code and design reviews for complex changes, evaluating abstraction boundaries, security, testability, performance, compatibility, and lifecycle maintainability.
Create and improve GitLab CI/CD pipelines, automated validation, policy gates, release controls, and deployment practices for shared platform components.
Mentor engineers through design discussions, pairing, code reviews, and incident learning; lead medium-sized technical initiatives from discovery through operational stabilization.
Participate in the weekly on-call rotation; lead or coordinate significant incidents, root-cause analysis, and corrective actions, turning recurring failures into durable platform improvements.
Improve Agile delivery through refinement, story readiness, dependency visibility, acceptance criteria, technical documentation, and operational-readiness practices.
Design and implement practical AI-assisted and agentic workflows, including MCP-based integrations where appropriate, to improve engineering productivity, testing, troubleshooting, platform operations, or developer experience.