[Remote] Senior Software Engineer, Data (AI)

Note: The job is a remote job and is open to candidates in USA. Juniper Square is a company focused on unlocking the potential of private markets through technology and data solutions. They are seeking a Senior Software Engineer, Data to build a next-generation intelligent data platform, responsible for delivering core pipeline components and contributing to the technical architecture of an AI-native data warehouse.ResponsibilitiesBuild and ship production-quality implementations of data normalization, schema mapping, validation, enrichment, and distribution pipelines for a net-new intelligent data warehouseWrite clean, well-tested, performant code across backend services, data pipeline logic, and API integrationsTake end-to-end ownership of features from design through deployment, with accountability for correctness and reliability in productionWork closely with Staff engineers to shape the architecture of a modern, AI-native data warehouse serving institutional financial clientsBring thoughtful input on schema design, normalization approaches, and API patterns - and execute those decisions with precisionIdentify and raise technical risks early; propose and implement solutions rather than waiting to be directedUse agentic coding tools and LLM-assisted development as your primary workflow - this is how the entire team operatesCritically evaluate AI-generated code for correctness, edge cases, and regressions - shipping quality output regardless of how it was producedContribute to the team's evolving practices around AI-accelerated development and testingBuild and maintain data validation checks, monitoring, and observability tooling that keeps pipelines trustworthy at scaleParticipate in on-call and production support, diagnosing and resolving data quality issues quickly and thoroughlyWrite and maintain clear technical documentation for the systems you buildSkills4–7 years of software engineering experience, with a track record of shipping production systems end-to-endStrong backend engineering fundamentals - backend services, data pipelines, and API design; we will ask you to walk through systems you personally builtHands-on experience with data pipeline or data warehouse engineering: ETL/ELT patterns, schema design, normalization, and data distributionProduction experience building with LLMs - prompt design, model integration, and output validation in real systemsFluency with AI-assisted and agentic development workflows; you use these tools daily and evaluate their output criticallyExperience with AWS data infrastructure; Redshift experience a plusStrong written communication - able to document technical decisions clearly for engineering and product audiencesAbility to critically evaluate AI-generated code and outputs, including identifying failure modes and regressionsExperience with RAG pipelines, vector stores (e.g., OpenSearch, pgvector), or document extraction systemsBackground in financial services data - familiarity with fund administration, investment data schemas, or institutional reporting workflows is a meaningful differentiatorExperience building data products for external customers, not just internal toolingFamiliarity with evaluation frameworks for AI outputs: deterministic checks, cross-model comparison, or human-in-the-loop review patternsBenefitsHealth, dental, and vision care for you and your familyLife insuranceMental wellness coverageFertility and growing family supportFlex Time Off in addition to company-paid holidaysPaid family leave, medical leave, and bereavement leave policiesRetirement saving plansAllowance to customize your work and technology setup at homeAnnual professional development stipendCompany OverviewJuniper Square provides software and fund administration services that streamline collaboration and communication between GPs and LPs. It was founded in 2014, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.junipersquare.com.Company H1B SponsorshipJuniper Square has a track record of offering H1B sponsorships, with 4 in 2026, 4 in 2025, 5 in 2024, 4 in 2023, 3 in 2022, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.