# Senior Software Engineer, Data Platform

**Company:** [Plenful](https://hotfix.jobs/companies/plenful)
**Location:** San Francisco, CA
**Role:** Data Engineering
**Experience:** 7+ years
**Skills:** Python, Postgres, AWS, Relational Databases, Data Modeling, schema design, query optimization, Data Infrastructure, Observability, testing
**Posted:** 2026-07-27

> Senior Software Engineer building and owning the core data platform and models that power Plenful's AI-driven healthcare workflow automation. Requires 7+ years backend/data infrastructure experience with deep relational database expertise.

## Job Description

## 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.

## Requirements
- 7+ years in professional software engineering, building backend or data infrastructure in production.
- Deep expertise in relational databases: schema design, query performance, and data modeling tradeoffs.
- Experience designing and evolving data models in complex, growing systems.
- Experience operating production systems at scale, including incident response and reliability work.
- Ability to code hands-on in backend systems (Python-heavy environment, but language-agnostic).
- Strong reliability instincts: observability, testing, and data integrity.
- Ability to make good decisions with incomplete information — designing data models while the domain is still being codified and product requirements evolve alongside AI capabilities.

## Nice-to-Haves
- Experience in healthcare, fintech, or other compliance-heavy infrastructure environments.
- Background at high-throughput infrastructure companies like Stripe, Brex, or Notion.
- Practical understanding of applied AI systems.
- Comfort in customer-facing technical discussions.

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