Senior Software Engineer - Continuity

radai; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Equipment stipend

Paid time off

Job summary

Radai is seeking a Senior Software Engineer to help build a care coordination and follow-up product used by radiology teams in a HIPAA-regulated environment. You will work on customer-facing web apps, Python backends, ML pipelines, and third-party integrations, collaborating with product, data science, and customer success to deliver secure, scalable software.

This role requires 5+ years in engineering, strong Python/FastAPI skills, and experience with multi-tenant architectures, testing, and

Qualifications

• 5+ years of industry software engineering experience in multi-tenant environments.
• Proficient in Python and FastAPI; strong databases and web architecture knowledge.
• Experience with testing, CI/CD, and distributed teams.

Responsibilities

• Develop large-scale progressive and single-page web applications that streamline user workflows and improve efficiency.
• Build and maintain Python and FastAPI backend services, including REST APIs and machine learning pipeline services.
• Ship new features that support a rapidly growing customer base of healthcare systems and radiology practices.
• Write code that meets internal standards for security, style, and maintainability in a high-scale HIPAA web environment.
• Collaborate with product management, ML, data science, and customer success stakeholders to iterate on features and resolve defects.
• Advocate for product quality, security, and performance improvements through code reviews, design collaboration, and engineering best practices.

Skills

Python

FastAPI

REST APIs

SQL & NoSQL

Unit testing

Distributed systems

Git

Tools

PostgreSQL

Auth0

Amplitude

Job description

Role overview

A Senior Software Engineer is needed to help build a care coordination and follow-up product used by radiology teams, ensuring important clinical findings don't fall through the cracks. The work spans customer-facing web applications, Python-based backend services, ML pipeline services, and third-party integrations in a high-scale, HIPAA-regulated healthcare environment. The role partners with full-stack engineers, ML engineers, product leaders, data scientists, and customer success teams to deliver reliable, secure software that improves clinical workflows.

Responsibilities

• Develop large-scale progressive and single-page web applications that streamline user workflows and improve efficiency
• Build and maintain Python and FastAPI backend services, including REST APIs and machine learning pipeline services
• Ship new features that support a rapidly growing customer base of healthcare systems and radiology practices
• Write code that meets internal standards for security, style, and maintainability in a high-scale HIPAA web environment
• Collaborate with product management, ML, data science, and customer success stakeholders to iterate on features and resolve defects
• Advocate for product quality, security, and performance improvements through code reviews, design collaboration, and engineering best practices

Requirements

• Five or more years of industry engineering experience with single- and multi-tenanted environments
• In-depth knowledge of Python and FastAPI, or equivalent modern languages and frameworks
• Experience with relational and document-based databases and other large-scale data storage paradigms
• Solid understanding of modern web architecture and best practices
• Hands-on experience with unit and integration testing
• Comfort working on a distributed team with strong version control skills using git
• Experience diagnosing and addressing performance and optimization problems

Nice to have

• Experience with PostgreSQL
• Experience integrating third-party services such as Auth0 or Amplitude
• Background at an early-stage startup
• Prior work in a HIPAA-compliant environment, especially with FHIR and HL7
• Experience working on machine learning systems

Benefits and work setup

• San Francisco-based onsite option (four days per week in office) and U.S. remote options, with priority given to candidates who can work onsite
• Comprehensive medical, dental, vision, and life insurance
• HSA with employer match, FSA, and dependent care FSA
• 401(k) retirement plan
• Eleven paid company holidays plus flexible paid time off
• Annual company-wide offsite and periodic team offsites
• Annual equipment stipend