The Quality Assurance Engineer will establish scalable automated testing practices across web applications, APIs, backend services, and integrations. The role requires 7+ years of quality engineering experience, automation framework expertise, and strong CI/CD, debugging, and cross-functional collaboration skills.
Salary not listed
Hybrid7+ YOEQA Engineering
About the role
Responsibilities
Own quality strategy across multiple products and engineering teams.
Design, build, and maintain automated test suites for web applications, APIs, backend services, and integrations.
Develop scalable, maintainable testing frameworks integrated into CI/CD pipelines.
Partner with software engineers during feature development to identify quality risks early.
Define test plans, acceptance criteria, and release readiness for new product initiatives.
Perform exploratory, functional, regression, integration, and end-to-end testing.
Drive automation-first testing practices while minimizing manual regression testing.
Collaborate with Product Managers and Designers to ensure requirements are testable and complete.
Monitor production quality metrics and investigate customer-reported issues with Engineering.
Review test automation code, promote quality metrics, and drive continuous process improvements.
Mentor engineers on testing best practices and help build a culture of shared quality ownership.
Requirements
7+ years of experience in Quality Assurance or Quality Engineering.
Experience building automated testing frameworks for modern SaaS applications.
Experience testing REST APIs and microservice-based architectures.
Experience with YAML-based testing.
Proficiency with one or more automation frameworks, such as Playwright, Cypress, or Selenium.
Ability to write automated tests in TypeScript, JavaScript, Python, Java, or C#.
Strong understanding of CI/CD pipelines and automated testing integration.
Experience with Git, GitHub, GitHub Actions, and modern software development practices.
Familiarity with SQL and validating data across relational databases.
Strong debugging and root-cause analysis skills.
Strong communication and cross-functional collaboration skills.
Nice-to-Haves
Experience testing AI or machine-learning-enabled applications.
Experience with healthcare software or regulated environments.
Familiarity with Kubernetes, Docker, and cloud-native architectures.
Experience with performance, load, or security testing.
Experience testing workflow automation platforms or enterprise SaaS products.
Exposure to observability platforms such as Datadog or Grafana.
Experience working in fast-paced startup environments.
Technologies
Python
TypeScript
React
YAML
Node.js
PostgreSQL
Kubernetes
Docker
AWS
GitHub Actions
Playwright
REST APIs
AI/LLM integrations
Compensation and Benefits
Hybrid work environment; R&D roles work two days per week in the San Francisco office.
Medical, dental, and vision insurance.
401(k) with company match.
Equity for full-time employees.
Unlimited PTO.
Daily lunch stipend of $100 per week.
Wellness stipend of $100 per month.
Commuter benefits of $100 per month for San Francisco and New York employees.
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