Senior Software Engineer - Continuity

radai; United States; Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental, Vision, Life ins.

HSA with employer match

401(k) retirement plan

11 paid company holidays + flexible PT

Job summary

radai is building a care coordination and follow-up product used by radiology teams. You will contribute to customer-facing web apps, Python-based backend services, ML pipeline services, and third-party integrations in a HIPAA-regulated environment.

You will work with full-stack engineers, ML engineers, product leaders, data scientists, and customer success teams to deliver reliable, secure software that improves clinical workflows and reduces missed findings.

Qualifications

• 5+ years of engineering experience in single- and multi-tenant environments.
• Strong Python and FastAPI proficiency.
• Experience with relational and document-based databases.
• Solid understanding of modern web architecture and patterns.
• Hands-on unit and integration testing; strong Git skills.
• Experience diagnosing and addressing performance and optimization problems.

Responsibilities

• Develop large-scale progressive and single-page web applications that streamline user workflows.
• Build and maintain Python and FastAPI backend services, including REST APIs and ML 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

Distributed systems

Unit testing

Git

Tools

PostgreSQL

Auth0

Amplitude

FHIR

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.