Sr. Quality Automation Engineer

Indianapolis, IN (Preferred) or United States-Remote

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.

• 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.

• 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.

• 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.

• 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.

• 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

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