Top Tech Jobs & Startup Jobs

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.