Senior Software Engineer, Data – AI

🕒 il y a 11 jours

🏄 California, New York – Distant

🏄 California – Remote 🗽 New York – Remote

💵 $185 000 - $225 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

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Juniper Square

Site WebLinkedInTous les Emplois

201 - 500 employés

💸 Finance

🏠 Immobilier

☁️ SaaS

💰 €75 000 000 Series C en 2019-11

Finance • Real Estate • SaaS

Juniper Square est une entreprise qui propose une plateforme complète et des solutions adaptées aux partenariats d'investissement privés. Fondée en 2014, l'entreprise se concentre sur la facilitation d'une connexion et d'une communication fluides entre les associés commandités (GPs) et les associés commanditaires (LPs) tout au long du cycle de vie de l'investissement. La technologie de Juniper Square est spécialement conçue pour soutenir les entreprises de l'immobilier commercial, du capital-investissement et des sociétés de capital-risque de toutes tailles. La plateforme offre des services tels que l'administration de fonds, la collecte de fonds, la gestion des investisseurs, la conformité et le reporting aux investisseurs, le tout visant à améliorer la transparence, la gouvernance des données et l'expérience globale des investisseurs.

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

🎯 Exigences

• 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.

🏖️ Avantages

• 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