Senior Full Stack Engineer

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:

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

• 5+ years of full-stack development experience with
  Python/Django
  and
  React
  .
• Strong experience with
  PostgreSQL
  database design and performance tuning.
• Practical experience deploying
  machine learning models
  in real-world applications.
• Proficiency with
  AWS
  services for web and AI application deployment.
• Ability to work autonomously, mentor junior developers, and contribute to architecture decisions.
• Must be able to
  work EST hours.

Nice to Have

• Familiarity with
  MLOps
  practices and tools (e.g., model versioning, inference pipelines).
• Experience with Docker, Kubernetes, and CI/CD tooling.
• Solid understanding of software scalability, security, and performance optimization.

Benefits

Why Join Now

• Be a foundational member of a venture-scale company with real distribution advantages in real estate.
• Own key technical systems from day one, shaping how they evolve.
• Culture built on speed, iteration, and execution.

What You'll Get

• Professional Development
  : Annual learning budget for books, courses, and conferences
• Mentorship
  : Learn directly from startup veterans (ex-Looker, GitHub, Mulesoft)
• Impact
  : Help shape a growing brand with a voice that influences fintech innovation
• Inspiring Workspaces
  : Offices in Berlin, New York, and London, with travel opportunities
• Flat Hierarchy
  : Work directly with founders and have your ideas heard
• Flexible Work Setup
  : Equipment of your choice, strong home office support

Hiring Process

1. Application
2. Screening
3. Top-grading Interview
4. Skills Assessment
5. Client Interview
6. Offer
7. Onboarding