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 Principal Engineer, you will drive the team’s technical direction and play a pivotal role in designing and architecting accounting software systems. This role involves mentoring team members, solving complex technical challenges, and delivering hands-on contributions as a full-stack leader.
You will work closely with engineers and cross-functional partners across Product, Design, and Quality Assurance to expand system capabilities. Your leadership will be instrumental in achieving the team’s objectives and advancing our technical vision.
Own Technical Direction and Architecture
Set the technical direction for AI systems, including shared AI SDKs, guardrails, evaluation frameworks, feedback systems, and agentic workflow infrastructure
Own architecture and technical strategy for complex backend and AI platform systems, from design through production
Lead technical design for ambiguous, cross-functional initiatives, evaluating tradeoffs, aligning stakeholders, and driving implementation
Evaluate and select technologies with a bias toward what ships well and scales sustainably
Build and Operate AI Systems
Write production code as a hands-on individual contributor; this is not a role that delegates implementation to others
Design and operate LLM-powered systems, including RAG pipelines, agentic workflows, evaluation infrastructure, guardrails, and model observability
Own end to end reliability of AI systems, from design through structured output delivery
Define quality benchmarks
Champion AI Native Development
Champion and embed AI native development practices and tools, such as Cursor and Augment, to drive meaningful productivity gains across the team
Foster a culture of rapid iteration, high velocity, and quality, including guiding the effective use of AI code generation
Bring strong, informed opinions on how to get the most from AI-assisted development while maintaining reliability and correctness
Lead and Grow the Team
Mentor engineers, raise the quality of technical decision making, and help the team execute with consistency
Establish coding standards, review practices, and architectural documentation that scale as the team grows
Help define what “good” looks like for a team building at speed without sacrificing quality
Partner with recruiting to build and grow the team
Collaborate Cross Functionally
Work closely with Engineering Managers, Product, Design, and QA to translate requirements into executable technical plans
Participate actively in design reviews and roadmap discussions with a grounded, implementation-level perspective
Handle most cross-team conflicts and technical decisions autonomously
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, such as agents, copilots, tool-using workflows, or multi-step reasoning systems
Familiarity with patterns such as tool calling agents, planning and 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, such as intelligent search, conversational interfaces, recommendations, and 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
Bachelor’s degree in Computer Science or equivalent work experience
13 to 17 years of experience in software development across building, integration, security, and architecture
Previous experience building enterprise-grade APIs is a plus
Previous experience leading a team is a plus
Expertise in object-oriented programming with Python as the primary language
Experience with front-end technologies such as React, CSS frameworks, HTML, and JavaScript
Experience with relational databases such as Postgres and MySQL
Experience with SQL database schema design and query optimization.
Experience with cloud technologies, preferably AWS, and container technologies such as Docker and Kubernetes
Experience with GraphQL and Apollo Server is a plus, but not required
You must be flexible and adaptable, and comfortable operating in a fast-paced startup environment
At Juniper Square, we believe building a diverse workforce and an inclusive culture makes us a better company. If this role sounds like a fit, we encourage you to apply even if you do not meet all of the qualifications.
