openashbyhqfelicis
Senior QA Automation Engineer
Juniper Square
LocationAmericas (USA or Canada)
WorkplaceRemote
EmploymentFullTime
Posted2026-06-30T16:22:41.526+00:00
Last observed2026-07-02 05:05:44.220281
Job idfelicis-juniper-square:ashbyhq:c6e6f78c-c206-4ee5-8737-78a329c1f7ac
ABOUT JUNIPER SQUARE Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come. Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us! Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first https://blog.junipersquare.com/juniper-square-ponders-future-of-office-with-digital-first-hybrid-workplace-strategy/ operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time. ABOUT YOUR ROLE As a QA Engineer at Juniper Square, you will collaborate with the product and engineering teams to help define and drive our manual and automation testing efforts. You must be detail oriented, passionate about product quality, and a strong advocate for the end user experience. WHAT YOU’LL DO - 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 p
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