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 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 roleAs a QA Automation Lead at Juniper Square, you will be the primary owner of quality for your project. You are expected to drive the end-to-end testing strategy, and oversee release readiness. 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 doReview technical design documents and API specifications (Swagger/OpenAPI) to provide meaningful feedback using AI-assisted analysis on system testability, edge cases, and potential integration bottlenecks.
Quality Roadmap & Planning: Partner with Product and Engineering leadership to define the automation strategy for new feature releases.
Design and execute complex test cases targeting backend systems, focusing on data integrity, distributed systems logic, and asynchronous processing, and leverage AI-powered tools like Cursor or Augment to rapidly prototype and scaffold new test suites.
API Excellence: Develop comprehensive test suites for RESTful (or gRPC/GraphQL) APIs, validating schema compliance, status codes, payload accuracy, and authentication/authorization protocols.
Maintain and extend backend automation frameworks, preferably, Locust or Pytest, RestAssured, by utilizing LLMs.
Establish and enforce QA best practices, coding standards, and rigorous code review processes for the automation team. Foster a culture of technical excellence and proactive problem-solving.
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: Contribute with the automation-first approach and partner with the engineering team to provide recommendations on how to decrease efforts in manual testing.
Education: Bachelor's degree in Computer Science, or equivalent professional experience.
Experience: 7-10 years in Software Quality Assurance, with a proven track record of leading quality initiatives for complex distributed systems, microservices, and backend APIs.
AI-Augmented Development: Proactive in using AI-powered tools (e.g., Augment, Cursor, Gemini) to accelerate test authoring, assist in debugging automation scripts, and optimize documentation workflows.
Test Automation: Skilled in designing and maintaining scalable automation frameworks specifically for backend services.
Programming Skills: Proficiency in at least one programming language, preferably, Python.
API Testing: Hands-on expertise in both manual and automated testing of REST and/or GraphQL APIs using tools like Postman, RestAssured, or Locust.
CI/CD and SDLC: Ownership of the "Continuous Testing" portion of the CI/CD pipeline. and software development lifecycle concepts, including code review practices, code coverage analysis, continuous testing, and delivery.
End-to-End Release Ownership: Experience managing the full release cycle, from scoping test requirements to final "Go/No-Go" decisions.
Test Process: Experience in creating comprehensive test plans at the service plan, authoring test cases, executing tests, and adhering to QA best practices.
Databases: Working knowledge of relational databases and SQL.
Cloud and Deployment: Strong experience with AWS, Docker, and Kubernetes.
Tools and Systems: Familiarity with version control systems (e.g., Git), test management tools (e.g., TestRail), and issue-tracking platforms (e.g., Jira).
Soft Skills: Excellent analytical and problem-solving abilities, attention to detail, and the ability to work independently in fast-paced Agile development teams with minimal supervision.
Communication: Strong written and verbal communication skills in English.
Performance and Load testing experience is good to have.
AI Experience- 1. Experience designing evaluation frameworks for LLM-powered features, including prompt regression testing and behavioural drift detection
Proactively leverage AI tools (e.g., Cursor, Gemini) 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
At Juniper Square, we believe building a diverse workforce and an inclusive culture makes us a better company. If you think this job sounds like a fit, we encourage you to apply even if you don’t meet all the qualifications.
