Staff Software Engineer, Full Stack - Platform

United States

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$180,000 – $230,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial IntelligenceIndustries

Requirements

Candidates should possess 8+ years of industry full stack engineering experience in single and multi-tenanted environments. They must have in-depth knowledge of Javascript/TypeScript, Python, and FastAPI, or equivalent modern languages/frameworks. Familiarity with relational and document-based databases, modern web architecture, HTML, CSS, responsive design, cross-browser compatibility, accessibility, browser networking, and browser APIs is also required. Experience with unit and integration testing, working on distributed teams, strong version control skills using Git, and experience with performance and optimization problems at large scale are necessary.

Responsibilities

The Staff Software Engineer will develop large-scale progressive and single page web applications, working on modern Javascript (React/TypeScript) frontend applications and Python/FastAPI backend services including REST APIs and ML pipeline services. They will build new features, write code that meets internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment, and work with Product Management, UX, and Customer Success to iterate on features and address defects. The engineer will also advocate for improvements to product quality, security, and performance.

Skills

Platform Engineering

Healthcare Data Platform

Medplum

HL7

Generative AI

Software Development

System Design

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$76.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees