Sr. Quality Engineer & Automation Testing Lead - Remote

UnitedHealth Group•Eden Prairie, MN

23h•$91,700 - $163,700•Remote

About The Position

Optum Insight and Optum Advisory Services work to improve healthcare data flow and help clients achieve business value through strategy, operations, data, and technology. The Sr. Quality Engineer & Automation Testing Lead is a key technical resource for solution implementation and ongoing release delivery, ensuring quality is incorporated throughout the software development lifecycle. The role defines test strategy and quality standards, designs and implements test automation frameworks, and leads functional, integration, regression, and non-functional testing to ensure solutions meet business, performance, and compliance expectations. The position provides technical leadership in quality engineering and test automation for modernization initiatives. It covers test planning, automation engineering, test data management, CI/CD quality gates, defect triage, environment coordination, and support for system and integration testing. The successful candidate works with business analysts, subject matter experts, client technical resources, and distributed matrixed teams, and applies appropriate data-access and security practices for regulatory and contractual requirements, including HIPAA, PHI, and PII. The role is remote within the U.S. However, 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 is full-time and offers an annual salary range of $91,700–$163,700, based on full-time employment and factors such as location, education, work experience, and certifications. Employment is contingent on passing a drug test.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related area.
7+ years of experience in quality engineering and testing across enterprise applications, including test planning, execution, and defect management.
5+ years of hands-on experience designing and implementing UI and/or API test automation solutions, including framework design, coding standards, and maintainable test suites.
3+ years of implementation experience with enterprise and cloud initiatives on Azure, AWS, and/or Google Cloud, including testing cloud-hosted applications, services/APIs, and CI/CD-driven release processes.
3+ years working as part of AI-first quality engineering and/or delivery teams, including offshore teams, through requirements, design, build, testing, deployment, and production support.
2+ years of AI-enabled quality engineering development experience.
Software delivery experience using Agile, including CI/CD and DevOps, with applications such as Jira, Rally, Aha, GitHub, and Selenium.
Strong understanding of quality engineering concepts, including test design techniques, risk-based testing, API testing, data validation, and automation patterns for reliable, scalable test suites.
Configuration management experience using GitHub and/or other version-control tools.
Experience coding automated tests in one or more of Java, C#, Python, or JavaScript/TypeScript, and strong SQL skills for test-data validation.
Ability to meet tight deadlines, follow development standards, and effectively raise critical issues with clients.

Nice To Haves

Testing or automation certification.
3+ years of experience designing and implementing healthcare data and information management solutions, with familiarity with payer/provider data such as membership, enrollment, medical and pharmacy claims, and clinical data.
Understanding of cloud and platform architecture patterns that influence test strategy, including containerization, microservices, and event-driven systems, and their implications for API testing, integrations, resiliency, and observability.
Experience with UI test automation tools or frameworks such as Selenium, Playwright, Cypress, or similar, including page-object or component-based test design.
Experience with API testing and automation tools such as RestAssured, Postman/Newman, Karate, or similar, including contract and response validation.
Extensive experience using AI tools to develop test cases, create test data, and run tests.
Experience with performance-testing tools and practices such as JMeter, k6, Gatling, or LoadRunner, and interpreting results to drive performance improvements.
Experience with test-management and quality-reporting practices or tools such as Jira/Xray, Zephyr, TestRail, or ADO Test Plans, and/or BDD approaches such as Cucumber.
Knowledge of HL7 and EDI transactions and related formats, including FHIR APIs.
Experience with accessibility-testing practices and/or basic security-testing concepts, such as OWASP Top 10 awareness, in regulated environments.
Experience leading QA/QE teams and driving adoption of quality gates, metrics, and continuous-improvement practices across releases.
Excellent oral and written communication skills.

Responsibilities

Provide AI-first technical leadership in quality engineering and test automation for modernization initiatives, defining test strategy, automation approaches, and quality metrics aligned with business outcomes.
Navigate ambiguity and implementation constraints, identify options, mitigate risks, and develop solutions with minimal supervision.
Implement data-access and security patterns in alignment with regulatory, compliance, and contractual requirements, including HIPAA, PHI, PII, and location restrictions.
Build partnerships with client technical resources through strong communication, presentation, analytical, and interpersonal skills.
Work closely with Business Analysts and SMEs to understand business requirements and collaborate in a matrixed team environment with distributed responsibilities.
Create process flows using diagramming tools such as Visio and OmniGraffle.
Establish and maintain automation frameworks and standards for UI, API, and data-layer automation to support scalable regression testing.
Create and maintain test plans, traceability, and coverage across requirements, user stories, and acceptance criteria; define entry and exit criteria and risk-based testing approaches.
Define and coordinate test data management and environment readiness, including synthetic-data approaches and controls appropriate for HIPAA, PHI, and PII.
Lead non-functional testing strategy and execution, including performance, reliability, accessibility, and applicable basic security validation, and turn results into actionable remediation.
Integrate automated tests into CI/CD pipelines to enable continuous testing, quality gates, and timely feedback to engineering teams.
Identify and communicate scope, design, and development issues proactively and recommend potential solutions.
Lead functional, integration, and regression test execution; manage defect triage, prioritization, root-cause collaboration, retesting, and verification; and provide quality-status reporting.