The Application Security team is part of the Information Security area. The team focuses on proactive hunting for and mitigating potential security threats on Nubank to protect our customers’ financial assets and data. For that, we perform many tasks such as embedding and developing security controls on the applications, supporting all engineers during the software development lifecycle.
Our AppSec team is at the forefront of enabling secure innovation at Nubank. We believe security should be an enabler, not a blocker, and we build scalable solutions to help developers ship secure code without friction. From designing AI-powered threat modeling tools to automating security in CI/CD, our work impacts every Nubanker engineer.
As a Security Engineer in our Application Security (AppSec) team, you will be part of the group responsible for enabling secure software development practices across Nubank’s entire engineering organization. We support teams working with a diverse technology stack – including Clojure, Python, Go for backend and Kotlin, Swift, Dart for mobile – by embedding security into their SDLC.
This role is ideal for someone with a strong foundation in application security concepts, who enjoys working closely with engineering teams to drive security best practices, and who has a keen interest in emerging areas such as AI security and threat modeling.
Your mission will include helping design and deploy security tools in our CI/CD pipelines (SAST, DAST, SCA), performing threat modeling for new projects, supporting security reviews, and contributing to the automation of AppSec processes, including those involving new AI technologies like Model Context Protocol (MCP) Servers and agents.
You’ll be responsible for
Embed security practices into the SDLC across backend, mobile, and web applications.
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Deploy and maintain security tools (SAST, DAST, SCA, MAST) in CI/CD pipelines.
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Perform threat modeling and security reviews for new and existing projects.
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Develop scripts and tools (Python, Go, Bash) to automate security checks and processes.
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Collaborate with engineering teams to explain and remediate vulnerabilities.
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Support AI-related security initiatives, ensuring safe adoption of ML/AI features in products.
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Contribute to the evolution of internal security guidelines and baselines.
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Participate in cross-functional discussions to align security requirements with business goals.