Sr. Quality Automation Engineer
资深质量自动化工程师 Authenticx 是一个快速增长的，风险投资支持的企业人工智能公司，通过对话智能改变医疗保健。我们帮助卫生组织发现隐藏在数百万客户互动中的见解来改善患者，成员和商业结果。角色摘要 高级质量自動化工程师是负责设计，构建，维护和整合 Authentixx 的健康服务对话智能平台上的自动测试的实践职位。你将把客户工作流程，产品要求，用户个人和医疗保健现实转化为保护最重要的经验的自动化覆盖。你将拥有关键产品领域的自动化的服务，并根据客户影响，产品风险，发布频率和业务价值优先考虑覆盖。你将与产品，工程，数据科学，实施和客户团队合作以提高产品质量，可测试性和释放信心。我们正在寻找一个能带来强大的技术判断力，产品感觉，好奇心和对质量工程的所有权的人。建立自动化围绕真实客户使用情况 • 学习 Authenticx 客户如何在医疗保健质量，辅导，合规，运营，分析和客户体验工作流中使用平台。•将工作流程，接受标准，生产问题以及已知风险领域转换为有意义的自动化测试场景。•确定应该进行什么自动化，哪种测试层最适宜，以及需要的覆盖水平。•平衡 UI,API,集成和数据级测试以创建可靠和可维护的覆盖范围。构建和维护自动化覆盖面 • 设计，编写，维护和解决 UI 工作流，API,后端服务，数据管道，集成，报告和人工智能驱动的功能自动化测试。• 构建并维护烟雾，回归，接受，集成和端到端测试套件。• 使用 Playwright 来自动化关键用户行程和产品工作流。• 使用 Bruno/Postman 验证 API,有效载荷，集成،身份验证，错误处理和后端行为。•使用 SQL 验证数据准确性，工作流整体，处理结果，报告输出以及面向客户分析。• 建立可重复使用的自动化工具，插件，辅助器和测试数据模式。• 集成自动化测试到 IC/CD 管道中
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Senior Quality Automation Engineer
About Authenticx
Authenticx is a fast-growing, venture-backed, enterprise AI company transforming healthcare through conversation intelligence. We help healthcare organizations uncover insights hidden in millions of customer interactions to improve patient, member, and business outcomes.
Role Summary
The Senior Quality Automation Engineer is a hands-on role responsible for designing, building, maintaining, and integrating automated tests across Authenticx's healthcare conversation intelligence platform. You will translate customer workflows, product requirements, user personas, and healthcare realities into automated coverage that protects the experiences that matter most. You will own automation for critical product areas and prioritize coverage based on customer impact, product risk, release frequency, and business value.
You will partner with Product, Engineering, Data Science, Implementation, and Customer teams to improve product quality, testability, and release confidence. We are looking for someone who brings strong technical judgment, product sense, curiosity, and ownership to quality engineering in a fast-paced startup environment.
What You'll Do
Build Automation Around Real Customer Use Cases
• Learn how Authenticx customers use the platform across healthcare quality, coaching, compliance, operations, analytics, and customer experience workflows.
• Translate workflows, acceptance criteria, production issues, and known risk areas into meaningful automated test scenarios.
• Determine what should be automated, which testing layer is most appropriate, and the level of coverage needed.
• Balance UI, API, integration, and data-level testing to create reliable and maintainable coverage.
Build and Maintain Automated Coverage
• Design, write, maintain, and troubleshoot automated tests for UI workflows, APIs, backend services, data pipelines, integrations, reporting, and AI-powered features.
• Build and maintain smoke, regression, acceptance, integration, and end-to-end test suites.
• Use Playwright to automate critical user journeys and product workflows.
• Use Bruno/Postman to validate APIs, payloads, integrations, authentication, error handling, and backend behavior.
• Use SQL to validate data accuracy, workflow integrity, processing outcomes, reporting outputs, and customer-facing analytics.
• Build reusable automation utilities, fixtures, helpers, and test data patterns.
• Integrate automated tests into CI/CD pipelines to provide earlier and more reliable quality signals.
• Investigate flaky tests, environmental issues, timing problems, and test-data failures, and distinguish them from true product defects.
• Identify high-risk coverage gaps and build automation to address them.
Partner Cross-Functionally to Improve Quality
• Work with Product, Engineering, Data Science, Implementation, and Customer teams to understand requirements, risks, and real-world usage.
• Partner with developers to improve testability, observability, logging, test data setup, and API contracts.
• Use logs, monitoring tools, database queries, API responses, and product data to investigate failures and validate system behavior.
• Communicate defects, automation gaps, and release risks clearly.
• Share automation patterns and testing practices that strengthen the broader quality engineering discipline.
Validate AI-Powered Product Experiences
• Build automated validation for classifications, model outputs, prompt and configuration changes, structured responses, extraction workflows, and downstream behavior.
• Develop repeatable test scenarios for deterministic and semi-deterministic AI behaviors.
• Validate expected outputs, required fields, edge cases, failure conditions, and downstream workflow impacts.
• Use representative test data and known expected outcomes to detect regressions.
• Partner with Data Science and Engineering to improve the testability and regression coverage of AI-powered features.
Required Qualifications
• 5+ years in test automation, SDET, or software engineering, with hands on ownership of automated suites
• Production level coding in at least one of TypeScript, JavaScript, C#, or Python
• Playwright or equivalent modern UI automation on complex web applications
• REST API testing (Bruno, Postman, or code based), covering authentication, payload validation, and error handling
• SQL proficiency to validate data integrity and processing outcomes
• CI/CD integration, including failure triage, flaky test diagnosis, and test data management
• Ability to assess product risk and choose the right test layer (UI, API, or data) without having every case defined for you
• Experience validating asynchronous, multi service workflows
Preferred Qualifications
• C#/.NET, PostgreSQL, and Azure
- Experience testing LLM or ML features using representative datasets, expected outcomes, and threshold based regression checks
- • Ingestion pipelines, event driven systems, and third party integrations
- • Healthcare, contact center, or regulated environment experience
- • AI assisted development tools for test creation and debugging
Originally posted on Himalayas