Senior Software Engineer, AI-Native Data Warehouse

About Juniper Square

Private markets are 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 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

As a Senior Software Engineer at Juniper Square, you're a hands-on individual contributor who designs, builds, and operates production systems powering core workflows for institutional financial clients. You bring deep technical expertise to your team, drive complex projects independently, and collaborate closely with Staff engineers, product, design, and QA to ship reliable, well-designed systems.

You'll join Dex, Juniper Square's AI-native data warehouse, a customer-facing data product. You'll work on data extraction, built on the existing architecture and running an Ingest → Parse → Classify → Extract pipeline, owning the initial MVP agents and covering structured data extraction, a RAG pipeline, vectorized storage, and a docs repo.

What you'll do

Build & Operate Production Systems

• Design, build, and ship production-quality systems, APIs, and services - from foundational platform capabilities to customer-facing product experiences

• Own projects end-to-end: translating requirements into technical designs, implementation, testing, deployment, and iteration

• Build reliable, scalable, and observable systems that deliver value to customers and enable other engineering teams to move faster

• Own the production health of the systems you build, including monitoring, troubleshooting, performance, reliability, and issue resolution

• Build intuitive, performant experiences that solve meaningful customer problems and support business outcomes

• Improve engineering velocity and operational quality through automation, documentation, and continuous improvements

Drive Technical Excellence

• Contribute to technical design for complex projects, evaluating tradeoffs and proposing pragmatic implementation plans

• Partner with product, design, and engineering to translate requirements into well-designed technical solutions

• Help identify and reduce technical debt, reliability risks, and friction in the software development lifecycle

• Collaborate with Staff and senior engineers to establish reusable patterns and raise engineering standards

• Participate in code reviews, design reviews, debugging, incident response, and operational support

AI Fluency & AI-Native SDLC

• Use agentic coding tools and AI-assisted development as a primary part of your workflow, deliberately choosing where AI versus traditional software is the right tool

• Critically evaluate AI-generated code for correctness, edge cases, and regressions, shipping quality output regardless of how it was produced

• Build or integrate AI/LLM-powered capabilities in your domain where they add real value (e.g., evaluation frameworks, RAG pipelines, agentic workflows), with clear human-in-the-loop boundaries

• Contribute to the team's evolving practices around AI-accelerated development, testing, and code review

Collaborate Cross-Functionally

• Work closely with product, design, QA, and cross-functional partners to meet timelines and align solutions to business goals

• Provide clear, accessible technical context to both technical and non-technical stakeholders

Domain Expertise

• Grow into a subject-matter expert in Dex, with a deep understanding of the data, workflows, and customer needs specific to that space

Qualifications

Required

• 7+ years of experience in backend and/or full-stack software engineering

• Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django

• Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling

• Experience with cloud-native technologies such as AWS, Docker, and Kubernetes, and infrastructure as code

• Strong understanding of CI/CD, observability, and operating services in production

• Comfort working full-stack when the problem calls for it (TypeScript/React experience a plus)

• Ability to break down complex technical problems and deliver pragmatic, maintainable solutions

• Strong ownership mindset, with the ability to drive projects independently while collaborating effectively across teams

• Clear communication skills, with the ability to explain technical tradeoffs to engineering and cross-functional partners

• Hands-on experience with AI-native development tools (e.g., Cursor, Augment), and demonstrated AI Fluency: a deliberate point of view on when AI is (and isn't) the right tool, adapted code review practices for AI-generated code, and safeguards against over-reliance on AI tooling

• Bachelor's degree in Computer Science or equivalent work experience

• Hands-on experience building or integrating AI/LLM-powered systems in production (e.g., RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability)

• Comfort operating in ambiguous, fast-evolving technical territory where best practices and patterns are still being established

Nice to Have

• Strong data warehousing or data engineering expertise (Redshift, Snowflake, BigQuery, Databricks)

• Experience shipping AI-forward data pipeline or warehousing solutions

• Comfort navigating ambiguity in an early-stage, less spec-heavy environment

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 Canadian base salary range for this role is $165,000 - $190,000 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.

Build & Operate Production Systems

• Design, build, and ship production-quality systems, APIs, and services - from foundational platform capabilities to customer-facing product experiences

• Own projects end-to-end: translating requirements into technical designs, implementation, testing, deployment, and iteration

• Build reliable, scalable, and observable systems that deliver value to customers and enable other engineering teams to move faster

• Own the production health of the systems you build, including monitoring, troubleshooting, performance, reliability, and issue resolution

• Build intuitive, performant experiences that solve meaningful customer problems and support business outcomes

• Improve engineering velocity and operational quality through automation, documentation, and continuous improvements

Drive Technical Excellence

• Contribute to technical design for complex projects, evaluating tradeoffs and proposing pragmatic implementation plans

• Partner with product, design, and engineering to translate requirements into well-designed technical solutions

• Help identify and reduce technical debt, reliability risks, and friction in the software development lifecycle

• Collaborate with Staff and senior engineers to establish reusable patterns and raise engineering standards

• Participate in code reviews, design reviews, debugging, incident response, and operational support

AI Fluency & AI-Native SDLC

• Use agentic coding tools and AI-assisted development as a primary part of your workflow, deliberately choosing where AI versus traditional software is the right tool

• Critically evaluate AI-generated code for correctness, edge cases, and regressions, shipping quality output regardless of how it was produced

• Build or integrate AI/LLM-powered capabilities in your domain where they add real value (e.g., evaluation frameworks, RAG pipelines, agentic workflows), with clear human-in-the-loop boundaries

• Contribute to the team's evolving practices around AI-accelerated development, testing, and code review

Collaborate Cross-Functionally

• Work closely with product, design, QA, and cross-functional partners to meet timelines and align solutions to business goals

• Provide clear, accessible technical context to both technical and non-technical stakeholders

Domain Expertise

• Grow into a subject-matter expert in Dex, with a deep understanding of the data, workflows, and customer needs specific to that space

Required

• 7+ years of experience in backend and/or full-stack software engineering

• Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django

• Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling

• Experience with cloud-native technologies such as AWS, Docker, and Kubernetes, and infrastructure as code

• Strong understanding of CI/CD, observability, and operating services in production

• Comfort working full-stack when the problem calls for it (TypeScript/React experience a plus)

• Ability to break down complex technical problems and deliver pragmatic, maintainable solutions

• Strong ownership mindset, with the ability to drive projects independently while collaborating effectively across teams

• Clear communication skills, with the ability to explain technical tradeoffs to engineering and cross-functional partners

• Hands-on experience with AI-native development tools (e.g., Cursor, Augment), and demonstrated AI Fluency: a deliberate point of view on when AI is (and isn't) the right tool, adapted code review practices for AI-generated code, and safeguards against over-reliance on AI tooling

• Bachelor's degree in Computer Science or equivalent work experience

• Hands-on experience building or integrating AI/LLM-powered systems in production (e.g., RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability)

• Comfort operating in ambiguous, fast-evolving technical territory where best practices and patterns are still being established

Nice to Have

• Strong data warehousing or data engineering expertise (Redshift, Snowflake, BigQuery, Databricks)

• Experience shipping AI-forward data pipeline or warehousing solutions

• Comfort navigating ambiguity in an early-stage, less spec-heavy environment

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.