The posting
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 https://blog.junipersquare.com/juniper-square-ponders-future-of-office-with-digital-first-hybrid-workplace-strategy/ 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
As a Staff Software Engineer at Juniper Square, you are a technical leader - setting technical direction, driving architectural decisions, and raising engineering quality across your team. This is a player-coach role: you lead through code and architecture, not just direction. You'll write production code as a hands-on individual contributor while owning your team's technical strategy, roadmap, and growth, and you'll collaborate closely with product, design, and QA to turn complex workflows into delightful, intuitive experiences.
We're hiring a Staff Software Engineer for the following team:
- Treasury: Join the team building Juniper Square's Treasury platform, the system that brings transactions, balances, and bank data into and across the platform. You'll work on expanding bank integrations, a visualization and reporting layer for payments and treasury data, and vendor exports that connect treasury data to accounting, on a team that has already processed $500M+ in transactions.
WHAT YOU'LL DO
Own Technical Direction & Architecture
- Set the technical direction and own the architecture for your domain's systems, from design through production
- Lead technical design for ambiguous, cross-functional initiatives - evaluating tradeoffs, aligning stakeholders, and driving implementation
- Be instrumental in your team's transition from monolith to service-oriented architecture
- Evaluate and select technologies with a bias toward what ships well and scales sustainably
Build & Deliver
- Write production code as a hands-on individual contributor - this is not a role that delegates implementation to others
- Own end-to-end delivery of roadmap projects: design, coding, testing, and production
- Manage your team's short-term roadmap (spanning the next two quarters), proactively surfacing execution, cost, and technical risks and driving pragmatic mitigation
- Lead the development of complex, full-stack workflows, working across frontend and backend engineers
AI Fluency & AI-Native SDLC
- Practice AI Fluency across the full software development lifecycle - deliberately choosing where AI versus traditional software is the right tool, and defending those tradeoffs against real criteria (latency, accuracy, cost, data sensitivity, explainability)
- Champion and embed AI-native development practices and tools (e.g., Cursor, Augment) to drive significant productivity gains across your team
- Adapt code review and testing practices for an AI-assisted SDLC - catching AI-specific failure modes (hallucinated dependencies, overconfident but incorrect logic) before they ship
- Build and evaluate agentic workflows and AI-assisted systems where they add real value, with clear human-in-the-loop boundaries and monitoring for failure
- Guard against over-reliance on AI tooling, in your own work and in the code you review, balancing velocity with system comprehension and accountability for outcomes
- Foster a culture of rapid iteration, high velocity, and quality, and help raise AI fluency across the team
Lead & 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
- Partner with recruiting to build and grow the team
Collaborate Cross-Functionally
- Work closely with product, design, QA, and customer support 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
Operational Excellence
- Own monitoring, diagnosing, and resolving production issues within your team's services
- Use observability tooling to measure and improve system performance and reliability
- Implement and uphold best practices that maximize developer productivity across the team
Domain Expertise
- Grow into a subject-matter expert in your domain, with an in-depth understanding of customer needs and the value your systems deliver
QUALIFICATIONS
Required
- 12+ years of experience in backend and/or full-stack software engineering, with a clear trajectory of increasing technical leadership, architectural responsibility, and mentorship
- A portfolio of shipped production systems - be ready to walk through specific technical decisions you personally made and code you personally wrote; this is not a role for someone whose primary contribution has been directing others
- Deep expertise in at least one server-side language (Python preferred, Node/TS, Java, C++, C#, or similar) and strong proficiency building production-grade backend services
- Experience with modern front-end frameworks (React preferred) and comfort working full-stack when the problem calls for it
- Experience with relational/NoSQL databases, including schema design, performance tuning, and data modeling
- Experience building and operating cloud-native systems using AWS (or equivalent), Docker, Kubernetes, and infrastructure as code
- Strong understanding of CI/CD, observability, reliability, and operational excellence in production environments
- Deep understanding of service-oriented architecture and experience evolving systems from monolith toward SOA
- Demonstrated ability to raise engineering quality through technical standards, design reviews, mentoring, and reusable platform patterns
- Hands-on experience with AI-native development tools (e.g., Cursor, Augment) and a track record of using them to accelerate personal and team velocity
- Demonstrated AI Fluency: hands-on experience building AI-assisted or agentic systems with a deliberate, defensible point of view on when AI is (and isn't) the right tool; adapted code review practices to catch AI-specific failure modes; and concrete safeguards against over-reliance on AI tooling
- Ability to work through ambiguity, break down complex problems, and drive alignment across engineering, product, and design
- Bachelor's degree in Computer Science or equivalent work experience
Nice to Have
- Reporting: experience with data integration platforms, ETL/ELT processes, business intelligence tools, or financial data
- Production experience building AI/LLM-powered systems (RAG pipelines, agentic workflows, evaluation frameworks)
- Background in financial document processing or fintech data pipelines
- Prior experience in a technical lead or TLM capacity on a new or early-stage product team
At Juniper Square, we believe building a diverse workforce and an inclusive culture makes us a better company. If you think this role sounds like a fit, we encourage you to apply even if you don't meet every qualification.
COMPENSATION
Compensation for this position includes a base salary, equity, and a variety of benefits. The U.S. base salary range for this role is $190,000 – $235,000 USD and the Canadian base salary range is $180,000 - $225,000 CAD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
Benefits include:
• Health, dental, and vision care for you and your family
• Life insurance
• Mental wellness coverage
• Fertility and growing family support
• Flex Time Off in addition to company-paid holidays
• Paid family leave, medical leave, and bereavement leave policies
• Retirement saving plans
• Allowance to customize your work and technology setup at home
• Annual professional development stipend
Your recruiter can provide additional details about compensation and benefits.
