Senior Quality Engineer

Join Our Team at Optum

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.

In this role, you will design and implement robust, AI-powered testing solutions, utilizing cutting-edge tools like Playwright and Type Script, 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 will enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

• Quality engineering leadership:
  Lead the QE strategy and drive end-to-end test automation across web, API, mobile, cloud, and AI-powered applications.
• Automation framework development:
  Design, build, and maintain scalable automation frameworks using Playwright, Selenium, Cypress, and modern testing tools.
• API and microservices validation:
  Build robust testing solutions using Rest Assured, Postman, contract testing, and service virtualization techniques.
• Engineering standards:
  Establish automation best practices, coding standards, quality gates, and CI/CD testing integrations.
• AI/GenAI validation:
  Develop validation frameworks for LLM response quality, accuracy, consistency, reliability, and responsible AI guardrails.
• Data integrity:
  Perform backend and database validation to ensure accuracy and consistency across distributed systems.
• Cross-functional collaboration:
  
  Partner with Product, Architecture, Engineering, and Dev Ops teams to define quality strategy and release readiness criteria.
• Shift-left quality:
  Drive adoption of shift-left testing, continuous testing, and automated regression practices across Agile teams.
• Technical mentorship:
  Mentor QE engineers, conduct code reviews, and provide technical leadership on quality engineering initiatives.
• Quality metrics:
  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

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.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
• 6+ years of experience in Quality Engineering, Test Automation, or Software Development Engineering in Test (SDET)
• 2+ years in Proven experience leading enterprise-scale automation programs and quality engineering initiatives
• 2+ years in strong hands-on expertise in automation framework design, API testing, CI/CD integration, and modern quality engineering practices

• AI/GenAI Testing and Validation, LLM Evaluation and Prompt Testing
• MCP-based Agent Testing, ChatGPT, Git Hub Copilot, Gemini, Claude, Cursor AI
• Appium Mobile Automation, AWS, Azure, or GCP Cloud Testing
• Performance Testing using JMeter or Load Runner
• Dynatrace, Sonar Qube, 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…