• Analyze numerous unique threats daily, maintaining a standard of quality that sets the industry benchmark for supply chain security. • Author high-impact technical blog posts on malicious open source code packages and extensions, and publish deep-dive research pieces on malicious campaigns, threat actor profiles, novel attack vectors, and ecosystem-wide trends. • Design and build automated scripts and tools to streamline malware analysis, enhancing our data collection, threat analysis, and threat hunting workflows. • Partner with our engineering team to integrate your research into our core product, turning manual insights into scalable, real-time protection. • Leverage expertise in open source software ecosystems to enhance security across package registries, browser extensions (Chrome/VS Code), and proactively monitor GitHub/GitLab for emerging malicious campaigns. • Track APT (Advanced Persistent Threat) adversaries, characterizing various TTPs (Tactics, Techniques, and Procedures), capabilities, infrastructure, and campaigns.

• Conduct AS-IS process analysis • Perform technical analysis for the application layer • Execute testing including test book and use case production • Manage integration with banking systems and front-end management

• Preparation of cost estimates for new construction projects, executing the defined scope of services • Pricing of extras/variations • Site visits to identify potential extras • Entering estimates and addenda into the Mais Controle system • Verification of budgeted vs. executed work when necessary • Execution of extras, addenda (change orders), maintenance, and general services • Support in preparing estimates for new stands, when applicable • Participation in project measurement processes (may include site visits to company projects)

• Design, develop, and evolve Artificial Intelligence solutions, including generative AI, machine learning, and advanced analytics • Develop applications using LLMs for process automation, data analysis, and content generation • Create and maintain APIs and backend services for integration with corporate systems • Support the structuring of data pipelines and organization of data layers • Integrate AI solutions with databases and the organization's internal systems • Contribute to defining architecture, scalability, and best practices in AI projects • Ensure governance, security, and responsible use of Artificial Intelligence solutions • Collaborate with product, engineering, and data teams to deliver high-impact solutions • Support deployment, monitoring, and iteration of models in production environments