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

We are seeking individuals passionate about building data-driven systems to manage risk at scale. You will have significant exposure to every aspect of financial crime prevention, from building customer facing experiences to working closely with data scientists to seamlessly integrate models into production. As Risk services interface with multiple systems across Brex, excellent interpersonal and written communication skills are essential.

You will be working on high-impact projects requiring high development standards, handling and upkeep integrity of sensitive data, and ensuring compliance while driving monetary outcomes. In this role, you’ll gain specialized knowledge in risk management and contribute to building the most beloved financial services and softwares, all while safeguarding our customers, our platform, and the integrity of the financial market.

Where you’ll work
This role will be based in our São Paulo office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday, starting the week of September 1st, 2025. when we open our Sao Paulo office. 

Responsibilities

• Ensure the data for our decisioning systems is always of the highest quality, utilizing best-in-class services (risk vendors and internal models) to provide actionable insights that drive risk management and customer experience improvements.
• Develop low-latency decision systems for assessing risk during customer onboarding, payments, authentication, and in-app, leveraging machine learning models. 
• Build in-product levers that enhance our decisioning systems while striving to make risk management invisible.
• Building systems and tools for comprehensive customer due diligence, including KYC, sanctions, adverse media, PEP, and AML monitoring. 

Requirements

• Proficiency in at least one programming language such as Kotlin, Go, Python, or Java. Experience with Kotlin is a plus.
• Foundational knowledge of Machine Learning combined with experience working directly with ML-integrated systems (e.g., supporting model integration, feature pipelines). 
• Interest in working with data-driven systems, solving complex problems, and learning about risk management (prior risk experience is not strictly required).
• Interest and aptitude for building effective and user-centric tools, including those for internal teams.
• A strong sense of ownership and motivation towards protecting customers. 
• Ability to hold yourself and the team to high standards.
• Strong communication and interpersonal skills.
• Must be willing to work in the office 2 days per week on Wednesday and Thursday.

Bonus points

• Publications or contributions to open-source projects.
• Experience low-latency decisioning systems at scale.
• Experience developing and deploying models.