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 the roleWe’re looking for a Technical Lead to join our Platform team. The Platform team builds and maintains foundational services like Identity and Access management, authorization, Search, and API infrastructure, while also developing tools, frameworks, and enhancements to improve the developer experience across the entire software development lifecycle.
What you’ll do
Work with engineers, designers, and product managers to turn our product and technical vision into code.
Advocate for and implement modern architectural patterns.
Extend existing functionality to handle our rapidly increasing scale.
Monitor and optimize database queries to increase performance.
Create internal tools to support other engineers and other departments, to make their jobs more efficient.
Produce high-quality, thoroughly tested code and perform code reviews for colleagues.
Provide guidance, documentation, and support to product teams using the platform.
Use observability tools to measure and enhance frontend application performance and reliability.
Work closely with product engineers to align on platform improvements.
6-10 years of experience designing, building, and supporting large scale systems in production.
Expertise in Python and frameworks like FastAPI, Flask, Pyramid, Django.
Experience with SQL database schema design and query optimizations.
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.
Experience with continuous integration and Infrastructure as Code.
Strong problem-solving skills and ability to work independently while collaborating effectively within a team.
Passion for improving developer experience through better tooling, automation, and documentation.
You are flexible and adaptable—you will be juggling multiple projects in a fast-paced startup environment.
Nice to Have and AI Experience
Experience working on a Platform team/building tools for other developers.
Experience building products or tools using GenAI/LLMs.
Experience working with GraphQL.
Experience decomposing a large monolith into microservices.
Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases introduced by AI-assisted development
Experience building and shipping production-grade software using AI-assisted workflows across the full SDLC
Hands-on experience developing or integrating LLM-powered systems (e.g., agents, copilots, tool-using workflows, or multi-step reasoning systems)
Familiarity with patterns such as tool-calling agents, planning/execution loops, and retrieval-augmented generation (RAG)
Demonstrated ability to leverage modern AI tools to improve development velocity, code quality, and problem-solving
Experience contributing to AI-powered features (e.g., intelligent search, conversational interfaces, recommendations, automation)
Working knowledge of LLMs, embeddings, semantic search, and RAG pipelines
Ability to identify and evaluate opportunities to integrate AI capabilities into products and workflows
Skills Required
- 6-10 years of experience designing, building, and supporting large-scale production systems
- Expertise in Python and frameworks such as FastAPI, Flask, Pyramid, or Django
- Experience with SQL database schema design and query optimization
- Experience with cloud technologies such as AWS, Azure, or GCP
- Experience with Docker and Kubernetes
- Experience with continuous integration and Infrastructure as Code
- Strong problem-solving skills and ability to work independently and collaboratively
- Passion for improving developer experience through tooling, automation, and documentation
- Flexibility and adaptability in a fast-paced startup environment
- Experience working on a platform team or building tools for developers
- Experience building products or tools using GenAI or LLMs
- Experience working with GraphQL
- Experience decomposing monoliths into microservices
- Ability to evaluate AI-generated code and outputs for failure modes, regressions, and edge cases
- Experience shipping production-grade software using AI-assisted workflows across the SDLC
- Hands-on experience developing or integrating LLM-powered systems
- Familiarity with tool-calling agents, planning and execution loops, or RAG
- Experience using modern AI tools to improve development velocity, code quality, and problem-solving
- Experience contributing to AI-powered features
- Working knowledge of LLMs, embeddings, semantic search, and RAG pipelines
- Ability to identify and evaluate opportunities for AI integration
Juniper Square Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Juniper Square and has not been reviewed or approved by Juniper Square.
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Parental & Family Support — Paid parental and family leave is frequently characterized as generous, with structured return‑to‑work support referenced. Feedback suggests family‑forming and caregiver supports are a notable strength.
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Leave & Time Off Breadth — Unlimited PTO alongside paid holidays and sick time is consistently highlighted. Team practices like no‑meeting days and flexible scheduling further support time away.
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Wellbeing & Lifestyle Benefits — A digital‑first, remote‑friendly setup is reinforced by home‑office stipends, setup reimbursements, and expanded mental‑health support. Feedback suggests these perks materially improve daily work flexibility and wellbeing.
Juniper Square Insights
What We Do
At Juniper Square, we work hard every day to set the bar high in the work we do. We bring out the very best in each other without sacrificing kindness, quality, and the willingness to learn. You will see that every function and team is given respect here, because when any one of us wins, we all win. We bring a beginner’s mind to our work, not ego—enabling learning and creative and critical thinking. Some people talk about transparency, but here we treat you like the owner that you are: We share knowledge and information with all our employees, knowing that informed teams are successful teams (and happy ones too).
Why Work With Us
Our vision is to make the world’s private capital markets more efficient, transparent, and accessible through financial technology. We have an opportunity to transform an enormous and important industry, and we feel lucky to be working with the most talented, kindest, and most ambitious colleagues of our careers. Come join us!
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