Senior Full-stack Engineer (Django & React)

Overview

Job Title :  Senior Full-stack Engineer

Work Arrangement :  Remote| Must be able to work EST hours

Job Type :  Full-time

Salary :  Competitive base salary in USD

Industry :  PropTech / B2B SaaS / Real Estate Technology

Work Schedule :  40 hours per week

About Pearl Talent

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.

Hear why we exist, what we believe in, and who we’re building for :   Watch here

🧑‍💻 Why Work with Us?

We’re not just another recruiting firm—we focus on placing candidates with exceptional US and EU founders who prioritize the long-term success of their team members. We also provide retention bonuses at 3, 6, 9, and 12 months, as well as community-driven benefits like an annual retreat.

🏢 About the company

Our partner company helps the world’s most prominent companies navigate their most important brand, reputation, and product challenges. We specialize in high-impact research with hard-to-reach audiences recruiting the exact audiences our clients need, anywhere in the world. Our in-house teams ensure rigorous quality, rapid execution, and clear, strategic insights. Every engagement is custom-built, senior-led, and designed to deliver answers that drive key decisions.

About the Role

We’re seeking a  Senior Full-Stack Engineer  to lead the architecture and implementation of intelligent, scalable web applications. You’ll work hands-on with  Django, React, PostgreSQL , and  AWS , while collaborating closely with data scientists to deliver AI-driven product features.

Key Responsibilities

• Architect and develop full-stack applications with  AI model integration .
• Build APIs and backend logic in  Django  and develop dynamic UIs in  React .
• Design efficient data models and optimize performance in  PostgreSQL .
• Deploy and monitor machine learning models in production environments using  AWS  (e.g., Lambda, ECS, SageMaker).
• Guide team members, lead code reviews, and enforce best practices.
• Be available for collaboration, meetings, and feedback cycles during  Eastern Standard Time (EST) hours .

Requirements

Requirements

Nice to Have

Benefits

💡 Why Join Now

🤝 What You’ll Get

🚀 Hiring Process