Senior Software Engineer, Data Platform at Plenful

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Platform Ownership, Architectural Design, Data Modeling, Postgres, Python, AWS, System Evolution, Data Contracts, API Design, Platform Reliability, Observability, Data Integrity, Incident Response, Schema Design, Query Performance, Backend Systems

Industry

Hospitals and Health Care

Description

About the role We are hiring a Senior 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 5+ 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 have Experience in healthcare, fintech, or other compliance-heavy infrastructure environments Background at high-throughput infrastructure companies (Stripe, Brex, Notion, or similar) Practical understanding of applied AI systems — how models consume structured data, not pure ML research Comfort in customer-facing technical discussions Plenful perks Comprehensive Benefits Package: Enjoy unlimited PTO, fully covered health insurance (medical, dental, and vision), meal stipend, health & wellness stipend, 401(k) matching, and stock options Mission-Driven, World-Class Team: Join an exceptional group of professionals aligned around a meaningful mission and committed to making an impact Opportunities for Growth: Strengthen your partnership expertise through collaboration with experienced, high-performing leaders across the organization Flexible Hybrid Work Environment: This position is would be based out of our downtown San Francisco office 2 days a week. #LI-hybrid

Responsibilities

The engineer will own the design and evolution of the core data model, including domain entities and the audit trail governing automated decisions. They will build the data layer that AI agents read from and write to, ensuring it is expressive enough for operational context while remaining compliant with healthcare regulations.