
Grupo QuintoAndar | Software Engineer II (PwD Applicants Only)
Job Overview
Location
Brasil
Job Type
Full-time
Category
Software Engineering
Date Posted
April 21, 2026
Full Job Description
📋 Description
- • As a Software Engineer II at Grupo QuintoAndar, you will contribute to the largest real estate ecosystem in Latin America, helping to build technology that transforms the living experience for thousands of people across the region. This role is part of a remote-first, high-performance team that values innovation, collaboration, and ownership in delivering scalable, reliable solutions.
- • Day to day, you will develop, test, and deploy features within your team’s domain, actively participate in architecture and design discussions, follow Agile methodologies (Scrum/Kanban), ensure code quality through reviews and automated testing, troubleshoot production issues, and contribute to operational excellence by learning from incidents and improving system reliability.
- • You will join a world-class engineering team backed by top-tier investors like Kaszek, Qualcomm, General Atlantic, and SoftBank, operating within a company valued at over USD 5.1 billion. The team embraces a horizontal, informal structure with a strong focus on best practices, continuous learning, and high-impact projects that directly affect users’ lives.
- • In this role, you will deepen your expertise in software engineering fundamentals, gain hands-on experience with modern back-end technologies and cloud platforms, strengthen your ability to make technical decisions in distributed systems, and grow into a more autonomous engineer capable of owning end-to-end features while learning from senior mentors in a high-performance environment.
Skills & Technologies
Python
JavaScript
Java
Kotlin
Node.js
Design
Remote
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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