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 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

We are building a strategic new backend platform service that will own a critical content lifecycle end-to-end — from initial creation through multi-stage internal review to external delivery — at multi-tenant scale, with audit-grade compliance.

This is a backend-heavy role — the core charter is distributed-systems engineering: event-driven architecture, Postgres at scale, durable eventing, multi-tenant performance, and production reliability. The service is also designed with first-class extensibility for AI use cases (foundation for RAG, AI-driven classification, and more). A working understanding of full-stack is a plus, but the primary bar is backend depth.

Why this role is exciting: You will be the single technical owner for this service from green-field through a multi-phase rollout — partnering closely with architecture, engineering management, and product leadership. You'll set the technical direction for a high-impact platform, lead a team of 4–5 engineers, and groom junior engineers into senior contributors. It's a high-autonomy, high-visibility role with a clear path to staff-level impact for the right candidate.

What you'll do

• Own the end-to-end backend architecture: event-driven core, Postgres partitioning, durable eventing patterns, multi-tenant scale

• Design APIs, microservice boundaries, and service contracts for a high-throughput, multi-tenant platform

• Build the AI integration surface: foundation for RAG, async classification, and other AI use cases

• Drive technical phasing across multiple product phases (foundations → review workflows → external delivery → search/AI → migration)

• Partner with platform architects to align with company-wide standards (eventing, observability, deploy)

• Lead a team of 4–5 engineers technically — design reviews, code reviews, raising the engineering bar

• Groom and mentor junior engineers — pair on hard problems, run learning sessions, give actionable feedback, and create a clear path for them to grow into senior engineers

• Own production health — SLOs, runbooks, incident postmortems.

Qualifications

• 10+ years of backend engineering, 5+ years in Python (or strong polyglot — Python/Java)

• Production experience with async Python (FastAPI / asyncio) at scale

• Strong API design — REST/gRPC, versioning, schema evolution, backward compatibility

• Microservices and distributed systems — service boundaries, contracts, eventing patterns, idempotency, outbox/saga

• Deep PostgreSQL chops — partitioning, complex queries, replication, performance tuning

• Scale & performance — capacity planning, caching, query optimization, latency/throughput trade-offs

• AWS deep — ECS/EKS, S3, SNS/SQS, Aurora, IAM, IaC

• Observability and production ownership — metrics, tracing, on-call, SLOs, postmortems

• Experience leading project-level technical direction for 12+ months with measurable outcomes

• Track record of grooming and mentoring junior and mid-level engineers — taking them from execution-level work to ownership of design and delivery.

Nice to have

• Full-stack working knowledge — React, modern TypeScript, ability to reason about end-to-end request flow

• Hands-on production AI integration with a major LLM provider (OpenAI / Anthropic / Bedrock)

• Foundation for RAG / built a production RAG system with a vector DB (pgvector / OpenSearch / Pinecone)

• MCP (Model Context Protocol) — built or seriously prototyped a custom MCP server, or worked with agent frameworks

• Document management or content platform background; multi-tenant SaaS at scale

• Compliance-driven system experience (SOC2 / SOX)

• Open-source contributions in Python or AI tooling; fintech / asset management / SaaS domain exposure.