Senior Quality Engineer

UnitedHealth Group•Minnetonka, MN

3d•$91,700 - $163,700•Remote

About The Position

In this role, you will design and implement robust, AI-powered testing solutions, utilizing cutting-edge tools like Playwright and TypeScript, to ensure the quality, scalability, and seamless integration of these transformational systems. Your work will directly impact millions of members by bringing accuracy, speed, and intelligence to our claims processing capabilities. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location, and income–deserves the opportunity to live their healthiest life. Today, however, there are still too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
8+ years of experience in Quality Engineering, Test Automation, or Software Development Engineering in Test (SDET)
5+ years in Proven experience leading enterprise-scale automation programs and quality engineering initiatives
5+ years in strong hands-on expertise in automation framework design, API testing, CI/CD integration, and modern quality engineering practices
5+ years in Experience working with large-scale enterprise applications in domains such as Healthcare, Financial Services, Insurance, Banking, or Technology

Nice To Haves

AI/GenAI Testing and Validation, LLM Evaluation and Prompt Testing
MCP-based Agent Testing, ChatGPT, GitHub Copilot, Gemini, Claude, Cursor AI
Appium Mobile Automation, AWS, Azure, or GCP Cloud Testing
Performance Testing using JMeter or LoadRunner
Dynatrace, SonarQube, Browser Stack, Sauce Labs
Event-Driven Architecture and Distributed Systems Testing
Cloud Migration Validation and Data Reconciliation Testing
Excellent communication, stakeholder management, and technical leadership skills.
Experience with healthcare datasets (claims, eligibility, prior authorization, provider directories)
Understanding of clinical or operational workflows (provider calls, documentation, adjudication steps)
Awareness of healthcare data sensitivity and HIPAA‑like compliance expectations

Responsibilities

Lead the QE strategy and drive end-to-end test automation across web, API, mobile, cloud, and AI-powered applications.
Design, build, and maintain scalable automation frameworks using Playwright, Selenium, Cypress, and modern testing tools.
Build robust testing solutions using Rest Assured, Postman, contract testing, and service virtualization techniques.
Establish automation best practices, coding standards, quality gates, and CI/CD testing integrations.
Develop validation frameworks for LLM response quality, accuracy, consistency, reliability, and responsible AI guardrails.
Perform backend and database validation to ensure accuracy and consistency across distributed systems.
Partner with Product, Architecture, Engineering, and DevOps teams to define quality strategy and release readiness criteria.
Drive adoption of shift-left testing, continuous testing, and automated regression practices across Agile teams.
Mentor QE engineers, conduct code reviews, and provide technical leadership on quality engineering initiatives.
Measure and improve automation coverage, regression efficiency, release quality, and overall engineering productivity.
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI