Senior QA Automation Engineer

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture.

Position Summary The Senior QA Automation Engineer leads the quality strategy for the Evolent Platform web user experience. This role designs and maintains end-to-end, component, accessibility, contract, and test automation for a React and Next.js application and owns the quality signals that determine release readiness. This individual works independently with minimal supervision, applies creativity to testing challenges, sets and upholds the automation patterns others follow, and mentors quality engineers across the team. The role is expected to use approved AI-assisted tools to accelerate testing and improve quality while remaining fully accountable for every delivered result. AI-Assisted Engineering Expectations Evolent engineers are expected to effectively leverage approved AI-assisted development and productivity tools (e.g., code assistants, copilots, automation agents, knowledge assistants, and analytics tools) to improve quality, efficiency, and innovation while maintaining accountability for all delivered work. These expectations span the full engineering lifecycle, not only code generation, including iterating with AI on test strategy and solution design, evaluating alternatives, and producing design artifacts. Engineers remain responsible for validating outputs, ensuring solution quality, protecting sensitive information, and complying with security, privacy, regulatory, and Responsible AI standards. Key Responsibilities Quality Strategy and Leadership

• Develop, implement, and manage comprehensive test strategies for the user experience, covering functional, regression, accessibility, performance, and AI-output quality.
• Participate in code reviews, design discussions, and product planning to ensure quality is built into all phases of the software lifecycle.
• Define and uphold test automation patterns and standards in partnership with testing automation architects and front-end leads.
• Mentor quality engineers, promoting best practices in testing, automation, and quality assurance.
• Drive continuous improvement initiatives in testing processes, tools, and methodologies, and evaluate emerging testing technologies for applicability. Test Automation and CI/CD
• Lead the creation, maintenance, and optimization of Playwright end-to-end suites and Vitest component tests for React and Next.js features.
• Build contract tests for the AG-UI event stream, verifying event sequencing, shared state, tool-call events, and human-in-the-loop approval interrupts.
• Build API tests for backend-for-frontend endpoints and .NET and Python (FastAPI) services.
• Test streaming behavior and resilience, including slow, interrupted, and failed agent calls, retries, and timeouts.
• Plan and execute basic load and performance tests for streaming endpoints and data-heavy screens.
• Integrate and execute automated suites in GitHub Actions, maintaining a consistently high pass rate and reliable results. Accessibility Testing
• Lead accessibility testing against WCAG 2.1/2.2 AA and Section 508, combining automated axe-core checks with manual screen reader testing using JAWS, NVDA, and VoiceOver.
• Partner with engineering and design to triage accessibility defects and support independent accessibility conformance reviews. Defect Management and Quality Reporting
• Isolate, analyze, document, and prioritize defects before escalating to developers, and collaborate with developers, business analysts, and stakeholders for timely resolution.
• Analyze test and evaluation results, generate quality metrics, and report on quality state and release readiness to stakeholders.
• Present work in Agile ceremonies and lead technical knowledge-sharing sessions. AI-Enabled Quality Engineering
• Utilize approved AI-assisted engineering tools to accelerate test design, test script development, test data generation, documentation, troubleshooting, and defect analysis.
• Evaluate and validate AI-generated tests, scripts, and analysis for correctness, security, maintainability, compliance, and business appropriateness.
• Continuously identify opportunities to improve testing productivity and solution quality through AI-enabled workflows and automation.
• Contribute reusable prompts, skills, agents, testing playbooks, and AI-assisted testing patterns to benefit the broader engineering organization. Governance and Compliance
• Follow enterprise policies governing AI usage, intellectual property protection, security, privacy, PHI handling, and Responsible AI practices.
• Ensure no confidential, regulated, or protected information (including PHI in test data) is used with unapproved AI services or tooling; use synthetic data for testing.
• Participate in peer reviews and validation processes for AI-assisted solutions. Required