Job Opportunities API

ABOUT PLENFUL Plenful is on a mission to transform healthcare operations from the inside out. Fresh off our $50M Series B and backed by Notable Capital, Bessemer Venture Partners, TQ Ventures, Susa/Kivu Ventures, and other leading investors, we’re building the category-defining AI workflow automation platform that healthcare teams rely on to operate smarter, faster, and more efficiently. Our technology empowers healthcare operators across hospital and health systems, pharmacies and payors to eliminate manual work, reduce administrative burden, and improve compliance, all while unlocking critical revenue to fund programs for their in-need patient populations. Built by healthcare operators for healthcare operators, Plenful is driven by a deep understanding of the challenges facing today’s care teams. We’re passionate about equipping healthcare workers with world-class tools that deliver real, measurable impact, and we’re proud to serve 90+ leading health systems across the country. If you’re excited to help shape the future of healthcare, we’d love to meet you. Apply now to join our growing team. ABOUT THE ROLE Plenful is hiring a Senior Software Engineer to build and improve our data platform that powers our automation engine. You'll operate as the technical owner of this layer — setting direction, contributing to architectural calls, and writing code. This is a hands-on, builder opportunity. Our platform automates complex, multi-step processes in a regulated healthcare domain. The data layer underneath — how we model domain entities, serve rich context to AI-driven automation, and maintain auditability across every decision — is the foundation everything else is built on. The stack is AWS, Postgres, and Python. It needs to be fast, correct, and built to evolve. This is greenfield platform work with real constraints: healthcare compliance, rapid customer growth, and AI systems that depend on the quality of the data you provide them. You'll define core data abstractions, shape how the platform represents and queries its operational world, and build the systems that let feature teams ship with confidence. This role is hybrid. WHAT YOU’LL DO - Own the design and evolution of the core data model — domain entities, actions, and the audit trail that governs every automated decision. - Build the data layer that AI agents read from and write to: expressive enough that models can reason over operational context, governed enough for healthcare compliance. - Define how domain knowledge gets structured, versioned, and queried, laying the groundwork for richer context as the platform matures. - Establish data contracts and APIs that give feature teams clean, stable interfaces to build against. - Drive platform reliability as we double our customer base and traffic without losing performance. - Set technical direction for the data platform in partnership with product and feature team leads. You'll know it's working when the data platform becomes a lasting competitive advantage, feature teams ship rapidly and safely against clear contracts, the platform stays stable as customers and traffic double, and the data foundation compounds in value as AI capabilities evolve. YOU MAY BE A FIT IF - You've spent 7+ years in professional software engineering, building backend or data infrastructure in production. - You have deep expertise in relational databases: schema design, query performance, and data modeling tradeoffs. - You've designed and evolved data models in complex, growing systems. - You've operated production systems at scale, including incident response and reliability work. - You can code hands-on in backend systems (Python-heavy environment, but you're language-agnostic). - You have strong reliability instincts: observability, testing, and data integrity. - You make good decisions with incomplete information — designing data models while the domain is still being codified a