Senior Software Engineer - Cloud Platform - Remote

UnitedHealth Group•Eden Prairie, MN

5d•$91,700 - $163,700•Remote

About The Position

The Senior Software Engineer will work on the Cloud Platform Engineering team, which builds reusable software and platform capabilities for secure infrastructure across Microsoft Azure and Amazon Web Services. The role combines advanced Infrastructure as Code development, cloud architecture, operational ownership, technical leadership, and mentoring. The engineer will own shared modules and frameworks, lead technical delivery, and use AI-assisted and agentic engineering practices to improve platform delivery and operations. The position may be performed remotely from anywhere in the United States, except hires in the Minneapolis or Washington, D.C. area must work in an office at least four days per week. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. The role participates in the team’s weekly on-call rotation and may lead or coordinate significant incidents. The salary range is $91,700–$163,700 annually based on full-time employment. Benefits include a comprehensive benefits package, incentive and recognition programs, an equity stock purchase plan, and a 401(k) contribution, subject to eligibility requirements. Applicants must pass a drug test before employment begins.

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.
Experience mentoring individual engineers and leading technical delivery across multiple contributors.
Experience improving Agile refinement, story quality, technical documentation, operational readiness, and delivery flow.
Deep expertise in at least three to four cloud infrastructure domains in either Azure or AWS: networking, DNS, identity and access management (IAM), certificates/PKI, private and hybrid connectivity, and Kubernetes. Equivalent depth in both cloud providers is not required.
Ability to design maintainable abstractions, reason about complex dependency graphs, and evolve shared frameworks without destabilizing consumers.
Ability to participate in weekly on-call rotations, coordinate significant incident response, and lead root-cause and corrective-action work.
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.
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.
Deep specialization in one or more of the listed cloud infrastructure domains.

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, assessing 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, and turn 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.