QuintoAndar Serviços Imobiliários Ltda. logo

Grupo QuintoAndar | Staff Software Engineer | Salesforce

Job Overview

Location

Brasil

Job Type

Full-time

Category

Software Engineering

Date Posted

April 21, 2026

Full Job Description

📋 Description

  • As a Staff Software Engineer specializing in Salesforce at Grupo QuintoAndar, you will play a pivotal role in shaping the technical foundation of one of Latin America’s largest real estate ecosystems, ensuring the Salesforce platform scales securely and efficiently to support millions of users across the housing journey.
  • Your day-to-day responsibilities include designing scalable Salesforce architectures for Sales Cloud and Service Cloud, enforcing architectural standards, leading complex solution design involving data models and integrations, reviewing technical designs, ensuring compliance with governor limits, and actively contributing to hands-on development using Apex, Lightning Web Components, REST APIs, and automation tools like Flow.
  • You will operate within a world-class, remote-first technology team backed by investors such as Kaszek, Qualcomm, General Atlantic, and SoftBank, collaborating with product, business operations, and engineering teams while providing technical leadership to external consulting partners and mentoring internal developers.
  • In this role, you will deepen your expertise in enterprise-scale Salesforce architecture, influence platform governance and DevOps practices, drive improvements in performance and maintainability, and grow as a technical authority guiding both internal and external teams toward scalable, secure, and innovative solutions.

Skills & Technologies

JavaScript
Java
Node.js
Git
REST
Design
Senior
Remote

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QuintoAndar Serviços Imobiliários Ltda.
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About QuintoAndar Serviços Imobiliários Ltda.

QuintoAndar is a Brazilian proptech company that operates an online residential real estate platform, replacing traditional brokers with a digital end-to-end rental and sale marketplace, managing listings, contracts, payments, insurance and maintenance for landlords and tenants while using data science to price properties and match supply and demand.

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