Senior Quality Engineer II

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

This is a senior technical quality engineer responsible for driving quality engineering strategy, automation excellence, and continuous improvement across complex, large scale Digital systems. This role partners closely with engineering, product, and platform teams to ensure high quality delivery through modern automation frameworks, CI/CD pipelines, cloud based testing, and AI enabled quality practices. The role operates with significant autonomy, influences standards and best practices, and serves as a technical mentor across teams.

Primary Responsibilities:

• Lead and execute quality engineering and testing strategies across UI, API, and DB platforms
• Design, build, and maintain scalable automation frameworks using moder technologies
• Implement and manage testing in cloud based environments
• Integrate automated testing into CI/CD pipelines, ensuring quality gates are enforced throughout the delivery lifecycle
• Drive in sprint automation, aligning test coverage with agile delivery timelines
• Partner with QE and Development Leads to define and validate clear, testable acceptance criteria
• Perform and guide load, stress, and performance testing using tools such as JMeter
• Leverage Generative AI and AI assisted testing techniques to improve test effectiveness, coverage, and efficiency
• Contribute to and evolve quality initiatives, standards, and reusable automation solutions
• Develop and maintain QE technical documentation, including frameworks, patterns, and best practices
• Stay current with industry trends and emerging QE technologies, particularly in AI, cloud, and DevOps, and apply them pragmatically
• Act as a subject matter expert for complex, ambiguous quality challenges
• Mentor and support other QE engineers; serve as a trusted technical resource across teams
• Promote a culture of continuous learning, knowledge sharing, and quality ownership
• Comply with company policies, procedures, and evolving business directives related to work environment, assignments, and organizational needs
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

• Bachelor's in Computer Science, Engineering, or a related field
• 8+ years of experience in Quality Engineering and software testing
• 5+ years of experience with cloud based testing platforms (e.g., Sauce Labs)
• 5+ years of experience integrating automated testing into CI/CD pipelines
• 5+ years of experience in API testing and automation
• Hands on experience with performance testing tools such as JMeter
• Experience applying AI driven or AI assisted testing techniques
• Experience testing high volume, customer facing applications
• Experience working with applications deployed in private and/or public cloud environments
• Solid hands on experience with modern automation frameworks, including:

• Playwright and JavaScript
• GitHub Actions (YAML pipelines)
• Node.js based test execution
• MongoDB test validation
• Allure reporting and structured logging (e.g., Winston)

• Experience operating in a Lead role, influencing QE strategy across multiple teams or platforms
• Experience testing transaction intensive and healthcare domain systems, including provider workflows, data, or integrations
• Experience driving quality transformation initiatives or modernizing legacy testing practices
• Experience coaching and mentoring engineers on advanced QE and automation practices
• Exposure to AI/ML enabled products or platforms in a quality engineering capacity
• Familiarity with test data management, service virtualization, and contract testing