Senior Quality Engineer
Your Future Evolves Here
Position Summary
AI-Assisted Engineering Expectations
Quality Strategy and Leadership
- Develop, implement, and manage comprehensive test plans and strategies for complex software applications, covering functional, regression, and performance testing.
- 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 development patterns and standards in partnership with testing automation architects.
- Conduct exploratory and automated testing to validate software functionality, performance, and security.
- 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 UI and API test automation frameworks (e.g., Selenium WebDriver, Playwright) to improve efficiency and coverage.
- Integrate and execute automated test suites in CI/CD pipelines (e.g., Jenkins, GitHub Actions), maintaining a consistently high pass rate and reliable results.
- Create and maintain test data, and fix or refactor test scripts as applications evolve.
Defect Management and Quality Reporting
- Isolate, analyze, document, and prioritize defects before escalating, and collaborate with developers, business analysts, and stakeholders for timely resolution.
- Analyze test results and quality data, 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.
- Develop test strategies for AI-enabled capabilities integrated into enterprise applications, in partnership with architecture, security, and platform teams.
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.
- Participate in peer reviews and validation processes for AI-assisted solutions.
Required Qualifications
- 5+ years of experience in software quality assurance, with hands-on UI and API automation and manual testing.
- Strong hands-on experience building robust automation frameworks with Java and Selenium WebDriver and/or TypeScript/JavaScript with Playwright.
- Proficiency with test frameworks and build tools (e.g., TestNG, JUnit, Maven, Karate, Cypress).
- Strong coding skills in languages such as Java, C#, Python, or JavaScript/TypeScript for test automation.
- Experience creating and maintaining automation jobs in CI/CD tools (e.g., Jenkins, GitHub Actions with YAML, GitLab) and version control with Git.
- Proficiency in SQL for test data creation and maintenance.
- Knowledge of test management and defect tracking tools (e.g., JIRA, ALM).
- In-depth knowledge of testing methodologies, including functional, regression, performance, and security testing.
- Experience working in Agile development environments.
- Strong problem-solving skills and a proactive approach to troubleshooting and issue resolution.
- Excellent communication and collaboration skills, with the ability to mentor others.
Preferred Qualifications
- Experience using AI-assisted development and testing platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools.
- Hands-on experience with AI-driven testing, prompt engineering, and an understanding of underlying LLMs and MCP servers (e.g., Playwright MCP).
- Experience testing AI services, models, or agents integrated into production applications.
- Experience with additional frameworks such as PyTest with Python.
- Experience in healthcare or other regulated environments handling PHI.
Education
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent experience.
To ensure a secure hiring process we have implemented several identity verification steps, including submission of a government issued photo ID. We conduct identity verification during interviews, and final interviews may require onsite attendance. All candidates must complete a comprehensive background check, in-person I-9 verification, and may be subject to drug screening prior to employment. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in immediate disqualification from consideration.
Technical Requirements
Not included in the source posting: about the role, what you'll do, benefits.
Skills
Who can apply
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