Juniper Square is a company focused on unlocking the potential of private markets through technology and data integration. As a Senior QA Automation Engineer, you will collaborate with product and engineering teams to enhance manual and automation testing efforts, ensuring product quality and user experience through innovative AI tools.
Responsibilities:
- Review functional specifications and technical design documents, providing meaningful feedback and using AI-assisted analysis to identify edge cases or logic gaps early in the SDLC
- Work closely with development teams to identify test cases for automation and leverage AI-powered IDEs (like Cursor or Augment) to rapidly prototype and scaffold new test suites
- Design, develop, and execute test cases against product features and backend systems
- Maintain and extend automation frameworks (Playwright/Locust) by utilizing LLMs for code refactoring, optimizing test scripts, and reducing flaky test patterns
- Contribute to your development team on best practices, processes, and problem-solving, including the ethical and effective use of AI tools in the QA workflow
- Develop automated test result reports and highlight any potential quality risks
- Identify, troubleshoot, and track bugs to resolution, using AI tools to assist in root cause analysis and log interpretation
- Be an advocate for automation: Partner with the engineering team to provide recommendations on how to decrease manual efforts through automated solutions and AI-driven test generation
- Experience designing evaluation frameworks for LLM-powered features, including prompt regression testing and behavioral drift detection
- Proactively leverage AI tools (e.g., Cursor, Claude, etc…) to accelerate test authoring, debugging, and maintenance of automation frameworks
- Use AI to diagnose failures, generate test scenarios, and improve coverage and efficiency
- Contribute to testing strategies for AI-powered features, including validation of LLM outputs, edge cases, and reliability
- Drive best practices for the ethical and effective use of AI tools within QA workflows and across the broader engineering team
Requirements:
- Education: Bachelor's degree in Computer Science, or equivalent professional experience
- Experience: 5+ years in Software Quality Assurance, with strong expertise in testing web applications
- Test Automation: Skilled in designing, building, and maintaining test automation frameworks for web applications (preferably using Playwright)
- Programming Skills: Proficiency in at least one programming language, such as JavaScript, TypeScript, or Python
- AI-Augmented Development: Experience in using AI-powered tools (e.g., Augment, Cursor, Claude) to accelerate test authoring, assist in debugging automation scripts, and optimize documentation workflows
- API Testing: Hands-on experience in both manual, and/or automated testing of REST and/or GraphQL APIs using tools like Postman, RestAssured, or Locust
- CI/CD and SDLC: Solid understanding of CI/CD pipelines and software development lifecycle concepts, including code review practices, code coverage analysis, continuous testing, and delivery
- Tools and Systems: Familiarity with version control systems (e.g., Git), test management tools (e.g., TestRail), and issue-tracking platforms (e.g., Jira)
- Test Process: Experience in creating comprehensive test plans, authoring test cases, executing tests, and adhering to QA best practices
- Soft Skills: Excellent analytical and problem-solving abilities, attention to detail, and the ability to work independently within Agile development teams
- Communication: Strong written and verbal communication skills in English
- Working knowledge of relational databases and SQL is a plus
- Knowledge of cloud environments (e.g., AWS) and experience with application deployments