Staff Software Engineer, Data Platform

About Plenful Plenful is on a mission to transform healthcare operations from the inside out. Fresh off our $50M Series B and backed by Bessemer Venture Partners, Notable Capital, TQ Ventures, Susa/Kivu Ventures, and other leading investors, we’re building the category-defining AI agentic operating 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 leading healthcare organizations 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 We are hiring a Staff Software Engineer to own the data platform that powers Plenful’s automation engine. You will operate as the technical owner of this layer — setting direction, making architectural calls, and writing code. 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 on which everything else is built. 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 will 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. 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 is structured, versioned, and queried — laying the groundwork for increasingly rich context, serving 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 degrading performance Set technical direction for the data platform in partnership with the product , and feature team leads What success looks like A well-governed, scalable data platform that becomes a lasting competitive advantage Clear data contracts and boundaries that let feature teams ship rapidly and safely Platform stability and performance as the customer base and traffic double A defensible data foundation that compounds in value as AI capabilities evolve What we’re looking for Must have 12+ years of professional software engineering experience building backend or data infrastructure in production Deep expertise in relational databases: schema design, query performance, data modeling tradeoffs Track record designing and evolving data models in complex, growing systems Experience operating production systems at scale, including incident response and reliability work Hands-on coding ability in backend systems (Python-heavy environment, but language agnostic) Strong reliability instincts: observability, testing, data integrity Ability to make good decisions with incomplete information — e.g., designing data models when the domain is still being codified , and product requirements are evolving alongside AI capabilities Nice to ha