# Senior Software Engineer, Data Platform

**Company:** [Plenful](https://hotfix.jobs/companies/plenful)
**Location:** San Francisco, CA
**Role:** Data Engineering
**Experience:** 5+ years
**Skills:** Python, Postgres, AWS, Relational Databases, Data Modeling, Schema Design, Observability, Backend Development, APIs, Data Infrastructure
**Posted:** 2026-03-18

> Owns the data platform powering AI-driven healthcare automation, designing core data models, building compliant data layers for AI agents, and ensuring scalability and reliability on AWS, Postgres, and Python stack. Requires 5+ years backend/data infra experience and deep relational DB 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 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.

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