Quality Engineer

UnitedHealth Group•Minneapolis, MN

1d•$72,800 - $130,000•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
4+ years (or appropriate level) of experience in Quality Engineering, SDET, or software testing for web applications and APIs
3+ years of experience in testing RESTful APIs and working with API testing tools (e.g., Postman, RestAssured)
2+ years of professional software engineering and/or test automation development experience with tools like: Selenium, Playright and something similar
2+ years of experience with object-oriented programming languages such as Java, C#, or JavaScript/TypeScript
2+ years of experience in designing, writing, and executing automated test suites using frameworks such as Selenium, Cypress, Playwright, or Cucumber

Nice To Haves

Strong understanding of SDLC/STLC, defect lifecycle, and test strategy (risk-based testing, shift-left, quality gates)
Hands-on experience testing UI and APIs (REST/JSON), including integration and end-to-end testing across services
Experience with test automation using at least one modern language/toolset (e.g., Java, JavaScript/TypeScript, Python, C#) and frameworks (e.g., Playwright/Cypress/Selenium, REST Assured/Postman)
Familiarity with CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps) and integrating automated tests into pipelines
Ability to analyze logs, troubleshoot issues, and partner with engineers on root-cause analysis
Strong communication skills and ability to document test plans, quality status, and release readiness
Experience testing microservices and distributed systems (contract testing, service virtualization, event-driven flows
Exposure to data validation (SQL, ETL testing, data quality checks) and test data management
Knowledge of performance testing (e.g., JMeter, k6) and basic security testing concepts (OWASP)
Cloud and container experience (AWS/Azure/GCP, Docker, Kubernetes)
Experience with observability tools (Splunk, Datadog, New Relic, Grafana) to support monitoring and testability
Experience validating AI-enabled features (model behavior checks, prompt/response evaluation, bias/quality metrics, regression testing for LLM changes)
Domain experience in payments, financial services, or regulated environments

Responsibilities

Own end-to-end test strategy across UI, API, services, data, and AI-enabled features
Define quality gates (entry/exit criteria) and drive risk-based test planning for complex, multi-service releases
Lead shift-left practices by partnering early with product/engineering to embed testability into architecture and design
Design, build, and maintain automated test suites (unit, integration, API, UI, contract, regression) integrated into CI/CD pipelines
Create and manage test data, environments, mocks/stubs, and service virtualization to enable reliable testing
Execute exploratory testing on high-risk areas and validate non-functional requirements (performance, security, reliability, accessibility)
Monitor and improve quality metrics (defect leakage, coverage, flakiness, escape rates) and drive continuous improvement actions
Triage defects, perform root-cause analysis with engineering, and verify fixes through regression and targeted automation
Ensure release readiness by coordinating test execution, validating cross-service integrations, and reporting quality status to stakeholders
Champion best practices for coding standards, testability, observability, and “quality ownership” across the team
Troubleshooting skills to triage production issues and do root cause analysis
Excellent communication skills to collaborate with technical and business teams
Ability to work and collaborate with teammates as well as other teams across the larger org and globally
Eagerness to learn new applications and tools
Capability to understand and learn without much external help
Review and analyze logs in Splunk and Datadog or any other monitoring platform
Should be well versed with basic GenAI concepts: Vibe coding, Prompt Engineering