Software Engineer – AI-Driven Healthcare Tech (Hybrid)

3M HEALTHCARE; New York (NY); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Flatiron Health, based in the United States, is seeking a data- and technology-oriented Software Engineer with 1–4 years of experience to design and build impactful technology within its engineering organization. You will collaborate across functions to craft solutions that improve clinical outcomes in oncology settings, while maintaining code quality and security.

You’ll work in a hybrid environment, engage in end-to-end feature development, and employ modern technologies and AI-assisted coding

Qualifications

• Experience designing and implementing software solutions collaborating with cross-functional teams.
• Ability to work with ambiguous requirements and break them into clear, testable tasks.
• Proficiency in end-to-end feature development including testing and deployment.
• Familiarity with AI-assisted coding tools and modern tech stacks.

Responsibilities

• Design and develop technology within the engineering organization.
• Collaborate with engineers, product managers, and stakeholders to understand problems and balance needs.
• Break down requirements into well-scoped work and surface risks early.
• Implement, test, and deploy features end-to-end with maintainable code.
• Investigate bugs, perform root-cause analysis, and validate fixes with tests.
• Participate in design and code reviews to improve team quality.
• Leverage AI-assisted coding tools while ensuring security and reliability.

Skills

Python

C++

Java

C#

Ambiguity management

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Docker

PostgreSQL

MySQL

MSSQL

Snowflake

Claude Code

Cursor

Job description

Flatiron Health, based in the United States, is seeking a data- and technology-oriented Software Engineer with 1–4 years of experience to design and build impactful technology within its engineering organization. You will collaborate across functions to craft solutions that improve clinical outcomes in oncology settings, while maintaining code quality and security.

You’ll work in a hybrid environment, engage in end-to-end feature development, and employ modern technologies and AI-assisted coding