Senior Quality Automation Engineer

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 QA Automation Engineer

👻 Ghost score 10%

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Logo of Authenticx

Authenticx

51 - 200 employees

Founded 2018

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

<Authenticx> Authenticx is a healthcare-focused AI company that transforms patient and customer conversations into actionable insights. Their SaaS platform uses specialized, healthcare-labeled generative AI and conversation analytics to transcribe, summarize, and surface trends from call center and patient touchpoint data to improve patient safety, quality, compliance, and operational performance. Authenticx serves life sciences, pharmaceutical, provider, and payer organizations, offering integrations, consultative support, and real-time monitoring to drive therapy adherence, reduce friction, and accelerate issue resolution.

📋 Description

• Learn how 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 automated test scenarios • Determine what should be automated, the appropriate testing layer, and required coverage • Balance UI, API, integration, and data-level testing • 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 • Investigate flaky tests, environmental issues, timing problems, and test-data failures • Identify high-risk coverage gaps and build automation to address them • Partner with Product, Engineering, Data Science, Implementation, and Customer teams on requirements, risks, and usage • Improve testability, observability, logging, test data setup, and API contracts • Investigate failures using logs, monitoring tools, database queries, API responses, and product data • Communicate defects, automation gaps, and release risks • Share automation patterns and testing practices • 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 AI feature testability and regression coverage

🎯 Requirements

• 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

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