
Job Overview
Location
Americas (USA or Canada)
Job Type
Full-time
Category
Software Engineer
Date Posted
May 26, 2026
Full Job Description
đź“‹ Description
- • Design and ship the core data pipeline components for a new intelligent data warehouse, including schema mapping, data normalization, validation, enrichment, and distribution to downstream systems
- • Write production code daily as a hands-on individual contributor, with direct ownership of implementation rather than delegating to others
- • Take full technical ownership from architecture through deployment, ensuring reliability, performance, and correctness of data systems
- • Partner with a small seed team to define the end-to-end architecture of an AI-native data warehouse serving institutional financial clients
- • Make opinionated decisions on schema design, normalization strategies, API exposure patterns, and data distribution approaches
- • Evaluate and select technologies with a bias toward solutions that ship well and scale sustainably
- • Design and implement an evaluation framework to ensure trustworthiness of AI-generated outputs in high-stakes financial data contexts
- • Build cross-model comparison tooling, deterministic validation checks, and human-in-the-loop review workflows for AI outputs
- • Contribute to shared AI evaluation infrastructure that serves as a foundation across multiple products
- • Use agentic coding tools and LLM-assisted development as your primary workflow, with strong opinions on maximizing quality and reliability
- • Contribute to the team’s evolving practices around AI-accelerated software development lifecycle
- • Establish coding standards, review practices, and architectural documentation that scale as the team grows
- • Define what "good" looks like for a team building at speed without sacrificing quality
- • Mentor engineers and provide technical guidance as the team expands
- • Translate complex technical designs into clear documentation for both engineering and product audiences
- • Critically evaluate AI-generated code and outputs, identifying failure modes, regressions, and edge cases
- • Build data systems that ingest, normalize, validate, enrich, and distribute financial data across a complex ecosystem of private market participants
- • Work on a greenfield initiative that reshapes how financial data is processed in private markets
- • Operate in a digital-first environment supporting teams across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England
- • Collaborate with a team that uses transparency and open debate as defaults, with feedback embedded in culture
🎯 Requirements
- • 7+ years of software engineering experience with demonstrated Staff-level technical scope and impact
- • Portfolio of shipped production systems; must be able to walk through specific technical decisions and code personally written
- • Strong hands-on experience with data pipeline or data warehouse engineering: schema design, ETL/ELT patterns, normalization, and API-based data distribution
- • Production experience building with LLMs: prompt design, model orchestration, evaluation, and output validation in real systems
- • Fluency with AI-assisted and agentic development workflows; use these tools daily with strong opinions on effective usage
- • Experience with AWS data infrastructure; Redshift experience a plus
🏖️ 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
Skills & Technologies
About Juniper Square, Inc.
Juniper Square is a SaaS provider focused on investment-management software for the private funds industry. Founded in 2014 and headquartered in San Francisco, the platform streamlines fundraising, investor onboarding, capital calls, distributions, reporting, and compliance workflows for real estate, private equity, and venture capital managers. It integrates CRM, document management, e-signature, and analytics into a single cloud system to reduce manual processes and improve transparency. The company serves hundreds of fund sponsors managing tens of thousands of investors and billions in assets under administration.
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