Jobs at Grupo QuintoAndar

Design, build, deploy, monitor, and evolve full-stack software products for corporate teams. Responsibilities include backend services, user-facing applications, database design, REST APIs, third-party integrations, observability, automation, architecture, and collaboration with non-technical stakeholders. The role also involves software engineering best practices, cloud platforms, CI/CD, containers, and potentially mentoring engineers.

Own architectural strategy and technical roadmaps for complex, mission-critical platforms. Design scalable distributed systems, resolve cross-team technical challenges, establish engineering standards, evaluate trade-offs, mentor senior engineers, influence organizational decisions, and lead technical interviews. The role requires expertise in high-concurrency systems, data consistency, fault tolerance, system optimization, and cross-team technical leadership.

Architect, develop, and deploy machine learning systems for chatbot and search applications. Design experiments, analyze structured and unstructured data, improve models, and develop LLM-powered product features using prompt experimentation, agent evaluation, and AI guardrails. Provide technical leadership to data scientists and contribute to Data Science chapter decisions, reviews, and knowledge sharing.

Develop and maintain scalable, reliable software across the full lifecycle, from design and development through testing, deployment, production support, and maintenance. Collaborate cross-functionally, participate in Agile ceremonies, conduct code and design reviews, troubleshoot incidents, improve observability and architecture, strengthen engineering practices, and mentor software engineers. The role requires expertise in software architecture, RESTful APIs, databases, monitoring, testing, and deployment automation.

Leads the financial integration and governance of new businesses, incorporating them into planning, forecasting, reporting, budgeting, and monthly close processes. Coordinates cost centers, reporting structures, controls, KPIs, and executive governance routines. The role connects operational, business, and corporate teams, assesses consolidated business impacts, documents processes, and establishes scalable financial governance standards.

Architect, develop, and deploy machine learning systems for chatbots, search, and other product features. Design experiments, analyze structured and unstructured data, improve models, and develop LLM-powered applications using prompt evaluation, agents, guardrails, and proofs of concept. Provide technical leadership within the Data Science chapter and contribute to technical decisions, reviews, and knowledge sharing.

Develop and maintain scalable, reliable software across the full lifecycle, including architecture, development, testing, deployment, monitoring, incident response, and maintenance. Collaborate with cross-functional teams, participate in Agile ceremonies, conduct code and design reviews, improve engineering practices, troubleshoot production issues, and mentor software engineers. The role emphasizes high-quality delivery, observability, resilience, and continuous improvement.

Develop and maintain scalable, reliable software across the full lifecycle, from design and development through testing, deployment, production support, and maintenance. Collaborate cross-functionally, participate in Agile ceremonies, conduct code and design reviews, improve engineering practices, troubleshoot incidents, create postmortems, and mentor software engineers. The role involves evolving architecture, ensuring delivery quality, and addressing challenges involving scale, resilience, and fault tolerance.

Own and build the B2B marketing function, including strategy, annual planning, budgeting, campaign execution, events, product collaboration, creative briefing, performance measurement, and optimization. The role partners cross-functionally with Business and Product teams to translate complex product roadmaps into compelling initiatives for real estate stakeholders. It requires an autonomous, hands-on marketing leader capable of scaling a B2B vertical and managing multiple launches.

Design and build the foundational AI platform infrastructure from scratch, including scalable architectures, guardrails, cost controls, observability, security mechanisms, and automation capabilities. The role requires operating high-scale distributed systems, managing Kubernetes and container platforms, implementing Infrastructure as Code and CI/CD, evolving databases, and influencing or mentoring other SREs. The position is remote-first within Brazil and involves multiple technical interview stages.

Design and implement data security architecture across cloud storage, data lakes, warehouses, SaaS, and data pipelines. Lead DSPM and DLP implementations, sensitive-data mapping, encryption, masking, tokenization, retention, and sharing controls. Build Python- and API-based automations, integrate SOAR workflows, and enforce cloud security through Terraform. Partner with data, machine learning, legal, governance, and IT teams to translate privacy requirements into scalable controls.

Designs, builds, and maintains scalable, secure data platforms and end-to-end pipelines. Responsibilities include data modeling, transformation, quality, troubleshooting, performance optimization, deployment monitoring, governance, self-service data enablement, stakeholder alignment, and evaluating new technologies. The role also contributes to strategic technical direction, data-driven culture, coding standards, and cross-team leadership.

Architects, develops, and deploys machine learning systems for chatbots and search. Designs experiments, analyzes structured and unstructured data, improves models, and applies scientific methods to LLM-powered applications. The role evaluates prompts, agents, capabilities, and guardrails while building generative AI proofs of concept. It also provides technical leadership and contributes to Data Science chapter decisions, reviews, and knowledge sharing.

Architects, develops, and deploys machine learning systems for chatbot and search applications. Designs experiments, analyzes structured and unstructured data, and develops LLM-powered applications using prompt experimentation, agent evaluation, guardrails, and generative AI proof-of-concepts. Provides technical leadership within the Data Science chapter and collaborates with product, design, engineering, and machine learning teams.

Design, develop, scale, and operate centralized authentication and authorization platforms handling millions of daily requests. The role focuses on resilient, low-latency security systems, secure APIs, full software lifecycle ownership, incident response, observability, code quality, architecture, cross-functional collaboration, and mentoring. Candidates need strong IAM expertise, software engineering skills, scalable architecture experience, and fluency in Portuguese with advanced English.

Staff Software Engineer serving as a senior technical anchor for complex, large-scale platforms. Responsibilities include setting architectural strategy, designing distributed systems, driving engineering standards, resolving cross-team technical challenges, mentoring senior engineers, influencing roadmaps, and leading technical hiring assessments. The role requires expertise in high-concurrency systems, data consistency, fault tolerance, system optimization, and technical trade-offs, plus fluency in Portuguese and excellent English.

Designs and maintains scalable, secure data platforms and end-to-end pipelines. Builds data models, transformations, quality controls, self-service datasets, and observability practices. Troubleshoots data issues, optimizes SQL and platform performance, evaluates technologies through proofs of concept, and partners with stakeholders on scalable solutions. The role also contributes to technical strategy, data governance, engineering standards, and data-driven culture while serving as a technical reference for the data engineering team.

Develop and maintain scalable, reliable software across the full lifecycle, from architecture and development through testing, deployment, production support, and maintenance. Collaborate cross-functionally, participate in Agile ceremonies, conduct code and design reviews, troubleshoot incidents, improve observability and delivery quality, and mentor software engineers. The role requires strong engineering fundamentals, API and database expertise, architectural experience, and Portuguese and English fluency.

Lead Level 2 and Level 3 security incident response, coordinating MSSPs, SOC teams, and cross-functional stakeholders. Conduct forensic investigations, root-cause analysis, containment, eradication, and post-incident reviews. Develop and automate incident-response playbooks, improve SIEM and EDR detection rules, manage cyber threat intelligence processes, and support cloud incident response across AWS and GCP. Serve as the technical focal point during high-criticality incidents and communicate findings to technical and executive audiences.

Owns complex People Analytics problems from hypothesis formation through methodological validation and business recommendations. Develops predictive models, experiments, and data-driven explanations for workforce challenges. Translates technical findings for HRBPs, leadership, and C-level stakeholders, ensures data quality, and mentors less experienced analysts while partnering with Data Engineering and the People team.