Java Software Engineer

Position

Java Engineer- AI Driven Automation & Vulnerability Remediation

Location

Remote in Brazil

Employment Type

CLT

Monthly Salary in BRL

18,, reais

About the Role

We are partnering with a leading enterprise banking client to build a next-generation engineering capability focused on AI-driven vulnerability detection and automated remediation at scale.

This team is tackling a critical challenge:

modernizing application security by leveraging LLMs and AI agents to scan, identify, and remediate vulnerabilities across large-scale code repositories.

As a Senior Java Engineer, you will play a key role in designing and building intelligent automation pipelines that integrate LLMs, AI agents, and enterprise DevOps workflows to significantly improve security posture and development velocity.

What You'll Be Doing

Design and build automation pipelines that scan source code repositories and identify security vulnerabilities using LLMs and AI tooling

Develop intelligent remediation workflows to automatically resolve or recommend fixes for vulnerabilities

Integrate AI-driven systems into existing DevOps pipelines (GitLab, CI/CD)

Collaborate with architecture teams to build scalable, enterprise-grade solutions across large codebases

Work hands-on with Java/Spring Boot applications to implement secure coding and remediation patterns

Build and optimize AI agent workflows including rules, skills, and orchestration logic

Ensure systems are scalable, reliable, and performant in a high-volume enterprise environment

Partner with platform and security teams to continuously improve code quality, resiliency, and compliance

What We're Looking For

Core Requirements

Strong/Fluent in English

5+ years of experience in Java development

Strong hands-on experience with Spring Boot / enterprise Java applications

Deep understanding of

Multithreading & concurrency

Design patterns & clean code principles

Scalable system architecture

Experience working with

CI/CD pipelines (GitLab preferred)

Familiarity with large-scale codebases and repository management

AI / Modern Exposure (Highly Preferred)

Exposure to or experience with:

LLMs (e.g., Claude, GPT, or similar)

AI-assisted development workflows

AI agents, pipelines, or orchestration frameworks

Understanding of how AI can be leveraged to solve real engineering problems, not just theoretical exposure

Nice-to-Have

Experience in application security, vulnerability scanning, or remediation

Knowledge of DevSecOps practices

Exposure to tools like Windsurf or other AI developer platforms

Experience in enterprise banking or financial services environments