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Software Engineer II, Credit Limit Engineering
Brex — это престижный финтех-единорог с сильной инженерной культурой. Позиция предлагает работу над сложными задачами на стыке финансов и ML, а также гибридный формат работы в современном офисе в Сан-Паулу.
Сложность вакансии
Роль требует не только сильных навыков бэкенд-разработки (Kotlin/Java), но и специфического опыта в финтехе или регулируемых отраслях. Работа с высоконагруженными системами принятия решений и ML-моделями в реальном времени добавляет технической сложности.
Анализ зарплаты
Указанная роль Software Engineer II в международной компании уровня Brex в Сан-Паулу обычно оплачивается выше среднего по местному рынку. Ожидаемый диапазон для специалистов с опытом от 2 лет в топовых финтех-компаниях Бразилии составляет 180,000 – 260,000 BRL в год.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer II position within the Credit Limit Engineering team at Brex. With over two years of experience in backend development and a solid background in building systems for regulated industries, I am excited about the opportunity to contribute to a platform that empowers businesses through AI-driven financial tools. My technical proficiency in Kotlin and PostgreSQL, combined with my experience in designing event-driven architectures, aligns perfectly with your team's mission to scale credit decisioning systems.
In my previous roles, I have focused on building high-impact, data-intensive applications where reliability and latency are critical. I am particularly drawn to Brex's culture of high autonomy and engineering excellence. I am eager to bring my expertise in real-time data pipelines and financial connectivity to help manage billions of dollars in credit exposure while ensuring a seamless experience for your customers. I look forward to the possibility of discussing how my skills can support the continued growth of Brex's credit infrastructure.
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Откликнитесь в brex уже сейчас
Присоединяйтесь к Brex в Сан-Паулу и создавайте финансовую инфраструктуру будущего для тысяч компаний по всему миру!
Описание вакансии
Why join us
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering at Brex
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It's an environment where engineering is a craft, and builders become leaders.
What you'll do
As a Software Engineer on the Credit Limit Engineering team, you will build the critical systems that power Brex's credit decisioning and risk management. You'll work across the entire stack to create solutions that responsibly extend credit to businesses while managing billions of dollars in credit exposure.
Our team owns the complete credit experience, including the underwriting engine that evaluates applications and sets limits, financial connectivity systems that integrate with banks to pull real-time data, ML-powered credit models that assess risk, customer-facing tools for managing credit limits, and internal platforms that enable our teams to manage risk at scale.
You'll be working on high-impact, technically challenging problems: building real-time data pipelines that process millions of financial transactions, serving ML models with strict latency requirements, designing event-driven architectures for credit decisioning, and creating intuitive customer experiences for complex financial workflows.
Where you'll work
This role will be based in our São Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of 3 days per week in the office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work.
Responsibilities
- Build and maintain critical financial infrastructure, including bank connection integrations (Plaid, Finicity, Teller), financial statement processing systems, and real-time transaction data pipelines.
- Develop and optimize the underwriting engine that powers credit decisions for thousands of businesses, ensuring sub-second latency and high reliability.
- Implement customer-facing features for credit limit management, bank connections, and financial data collection in our React/TypeScript dashboard.
- Collaborate with Credit Risk, Capital Markets, and Product teams to translate business requirements into scalable technical solutions.
- Design and build internal tooling for Operations and Portfolio Management teams to manage credit risk and handle edge cases.
- Own problems end-to-end, from user experience and API design to data models, scalability, and ongoing observability.
- Work with ML models in production, integrating credit risk models (PD models, affordability frameworks) into real-time decisioning flows.
- Participate in on-call rotation and maintain high operational standards for mission-critical systems.
Requirements
- 2+ years of full-time software engineering experience with a focus on backend development.
- 1+ year of experience in financial systems, payments, underwriting, or a fintech application or experience in building systems for other regulated industries (e.g. healthcare, legal)
- Strong curiosity for digging deep into the technical problems, and strong ownership capable of delivering high quality solutions
- Experience building and scaling production systems, preferably in data-intensive or financial domains.
- Proficiency in backend technologies (e.g., Kotlin, Java, Typescript) and comfort with our stack (Kotlin and Micronaut).
- Experience architecting, developing, and testing full-stack applications end-to-end.
- Comfort working with databases (e.g., PostgreSQL), event streaming (e.g., Kafka), and distributed systems.
- A high bar for engineering standards: code quality, testing, observability, and operational excellence.
- Strong written and verbal English communication and interpersonal abilities.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
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Навыки
- TypeScript
- PostgreSQL
- Microservices
- React
- Kafka
- Distributed Systems
- Kotlin
- Java
- API Design
- Micronaut
Возможные вопросы на собеседовании
Учитывая специфику команды Credit Limit, важно понимать, как кандидат обеспечивает точность и надежность данных при интеграции с внешними банками.
Расскажите о вашем опыте работы с финансовыми API или интеграциями (например, Plaid). С какими основными сложностями вы сталкивались при обработке внешних банковских данных?
Вакансия подразумевает работу с системами, где задержка критична для принятия решений.
Как бы вы спроектировали систему принятия кредитных решений, чтобы обеспечить sub-second latency при обработке больших объемов данных?
Brex использует Kafka и распределенные системы. Важно проверить понимание консистентности данных.
Как вы обеспечиваете согласованность данных (data consistency) в событийно-ориентированной архитектуре при обработке транзакций?
Инженеры в Brex участвуют в on-call ротациях и отвечают за эксплуатацию.
Опишите случай, когда вам пришлось устранять критический инцидент в продакшене. Какие инструменты мониторинга и обсервабильности вы использовали?
Роль предполагает тесное сотрудничество с отделами рисков и рынков капитала.
Как вы подходите к переводу сложных бизнес-требований от нетехнических специалистов (например, риск-менеджеров) в масштабируемую техническую архитектуру?
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