Senior Software Engineer, Data – AI

🕒 May 26

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $185k - $225k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Juniper Square

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏠 Real Estate

☁️ SaaS

💰 $75M Series C on 2019-11

Finance • Real Estate • SaaS

Juniper Square is a company that provides a comprehensive platform and solutions tailored for private investment partnerships. Founded in 2014, the company focuses on enabling seamless connection and communication between General Partners (GPs) and Limited Partners (LPs) throughout the entire investment lifecycle. Juniper Square's technology is purpose-built to support commercial real estate, private equity, and venture capital firms of all sizes. The platform offers services such as fund administration, fundraising, investor management, compliance, and investor reporting, all aimed at enhancing transparency, data governance, and the overall investor experience.

📋 Description

• Build and ship production-quality implementations of data normalization, schema mapping, validation, enrichment, and distribution pipelines for a net-new intelligent data warehouse • Write clean, well-tested, performant code across backend services, data pipeline logic, and API integrations • Take end-to-end ownership of features from design through deployment, with accountability for correctness and reliability in production • Work closely with Staff engineers to shape the architecture of a modern, AI-native data warehouse serving institutional financial clients • Bring thoughtful input on schema design, normalization approaches, and API patterns - and execute those decisions with precision • Identify and raise technical risks early; propose and implement solutions rather than waiting to be directed • Use agentic coding tools and LLM-assisted development as your primary workflow - this is how the entire team operates • Critically evaluate AI-generated code for correctness, edge cases, and regressions - shipping quality output regardless of how it was produced • Build and maintain data validation checks, monitoring, and observability tooling that keeps pipelines trustworthy at scale • Participate in on-call and production support, diagnosing and resolving data quality issues quickly and thoroughly • Write and maintain clear technical documentation for the systems you build

🎯 Requirements

• 4–7 years of software engineering experience, with a track record of shipping production systems end-to-end • Strong backend engineering fundamentals - backend services, data pipelines, and API design; we will ask you to walk through systems you personally built • Hands-on experience with data pipeline or data warehouse engineering: ETL/ELT patterns, schema design, normalization, and data distribution • Production experience building with LLMs - prompt design, model integration, and output validation in real systems • Fluency with AI-assisted and agentic development workflows; you use these tools daily and evaluate their output critically • Experience with AWS data infrastructure; Redshift experience a plus • Strong written communication - able to document technical decisions clearly for engineering and product audiences • Ability to critically evaluate AI-generated code and outputs, including identifying failure modes and regressions.

🏖️ Benefits

• 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