Lead Software Engineer — Plan Intelligence Platform

LAM Lennar Associates Mgmt LLC

Miami (FL)

On-site

USD 156,000 - 208,000

Full time

10 days ago

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Benefits offered by this job

Health insurance
401(k) matching
Paid parental leave
Education assistance
Adoption assistance
Vacation and holidays
Home purchase discounts

Job summary

Lennar seeks a Lead Software Engineer to design, develop, test, and deploy Plan Intelligence, an internal analytics platform used by division and product teams. You will own features across a server-rendered React and TypeScript frontend and a Python FastAPI service backed by PostgreSQL on AWS.

You will collaborate with data and product teams, extend LLM-assisted features on AWS Bedrock, and ensure scalable, secure, and high-quality software in a collaborative, agile environment.

Qualifications

  • Master’s degree or higher in computer science or a related field.
  • 5+ years with web technology stack; 7+ years preferred.

Responsibilities

  • Collaborate with stakeholders to understand requirements and translate them into technical solutions.
  • Lead design, development, testing, and deployment of Plan Intelligence platform.
  • Own end-to-end features across React/TypeScript frontend and Python FastAPI backend.
  • Mentor software engineers and promote best practices in architecture and code quality.
  • Develop reusable components and optimize performance across AWS deployment.

Skills

JavaScript
React.js
TypeScript
Python
AWS
PostgreSQL
FastAPI
Docker
Git
CI/CD

Education

Master’s degree in computer science
Bachelor’s degree in computer science or computer information systems

Tools

FastAPI
AWS ECS
S3
PostgreSQL

Job description

Lennar seeks a Lead Software Engineer to design, develop, test, and deploy Plan Intelligence, an internal analytics platform used by division and product teams. You will own features across a server-rendered React and TypeScript frontend and a Python FastAPI service backed by PostgreSQL on AWS.

You will collaborate with data and product teams, extend LLM-assisted features on AWS Bedrock, and ensure scalable, secure, and high-quality software in a collaborative, agile environment.

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