Senior Quality Engineer, Performance and Analytics

The Performance & Analytics team works on calculating, reporting, and effectively presenting performance and attribution metrics across investments leveraging modern OLAP and Columnar technologies. This includes analysis of returns, benchmark comparisons, and the factors contributing to performance. We are in search of a passionate Quality Engineer to play a critical role in validating and evolving our next generation performance & analytics platform, helping ensure accuracy, reliability, and confidence across sophisticated investment management workflows. Our team is committed to creating a lasting impact on the investment management industry, leveraging AI and leading development practices to bring transformative change. Our team of engineers are building with cutting-edge technologies like Claude Code and Cursor in a fast-moving, creative work environment. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we’d love to meet you! You must be work authorized in the United States without the need for employer sponsorship. The impact you will have: Validate complex performance and analytics workflows across portfolio performance, attribution, benchmark, and reporting experiences Partner closely with product managers, engineers, and domain experts to ensure business requirements are translated into high-quality client experiences Be involved in the entire software development lifecycle, from requirements and design reviews through implementation and production validation Develop and execute thoughtful test strategies focused on workflow accuracy, financial data integrity, and end-user confidence Conduct exploratory testing to uncover edge cases, workflow inconsistencies, and business logic gaps across integrated financial systems Participate in the creation and construction of automated testing solutions that improve scalability, reliability, and release confidence Collaborate with engineering teams to improve quality practices, testability, and risk mitigation throughout the development lifecycle Analyze customer-reported issues and production defects to identify root causes and drive long-term improvements Think creatively, own problems, seek solutions, and communicate clearly along the way Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency What we look for: 5+ years in a Quality Engineering, Software Testing, or related position validating complex SaaS applications Deep understanding of performance analytics methodologies and practical experience validating TWR, Brinson Attribution, benchmark analysis, and Profit & Loss calculations within investment management platforms Experience validating and triaging business-critical workflows where accuracy, transparency, and data integrity are essential Familiarity working with APIs, databases, and automated testing frameworks Experience validating applications built on cloud native platforms such as AWS, Azure, or Google Cloud Strong analytical thinking with an aptitude for identifying workflow gaps and complex edge cases Experience collaborating closely with engineering, product, and business stakeholders throughout the software development lifecycle Willingness to learn about new technologies while simultaneously developing expertise in a business domain/problem space Understand the value of automated tests at all levels Ability to focus on short-term deliverables while maintaining a big-picture long term perspective Experience with GitHub Copilot, Claude Code, Cursor, or ChatGPT An aptitude for complex problem-solving Ability to communicate with colleagues at all levels Serious interest in having fun at work Bonus : Buy-side technology experience Experience validating ETL pipelines or large-scale financial data workflows Experience with SQL and analytical databases such as OLAP or Columnar systems Experience testing highly data-intensive analytics or reporting platforms About Ridgeline Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement . Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits  [For New York and California Based Only] The typical starting salary range for new hires in this role is listed below.  In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.  The typical starting salary range for this role is: $113,500-$141,500.  The typical starting salary range for this role in the select locations listed above is: $124,500-$156,000. Final compensation amounts are de