Grupo Bolt

• Develop and maintain solutions using Apex, Lightning Web Components (LWC) and declarative platform configurations • Build and support integrations with external systems via REST API • Create and maintain custom objects, triggers and automations • Support the construction of journeys and automations in Marketing Cloud • Version code using Git, following branch best practices and team collaboration workflows • Participate in agile ceremonies and contribute to incremental deliveries

• User Interface Development: Assist in creating and maintaining responsive and interactive user interfaces (UI) using the Angular framework. • API Integration: Collaborate on integrating services and RESTful APIs to consume data on the front end. • Code Maintenance and Optimization: Make adjustments and fix bugs in existing components. • Componentization and Reusability: Develop reusable, modular components for the project. • Testing and Debugging: Participate in creating and executing unit and functional tests. • Team Collaboration: Work together with back-end developers, designers, and other team members. • Documentation: Document developed features and code changes.

• Develop and maintain back-end services using Java and/or Kotlin • Implement and enhance front-end interfaces using Angular • Participate in the end-to-end implementation of new features • Contribute to code reviews and follow the technical standards defined by the team • Integrate external APIs and services • Work with relational databases (MySQL and PostgreSQL), creating and tuning queries • Write and maintain automated tests (unit and integration) • Assist in identifying and fixing bugs and performance issues • Collaborate with the team on technical refinements and estimations

• Work on the evolution and maintenance of the company’s systems. • Participate in the development of modern, scalable applications guided by software engineering best practices.

• Provide technical leadership for the AI Platform squad, defining architecture, standards, and best practices to deliver AI services and provide access to corporate data for multiple teams across the company. • Define and evolve the AI Platform architecture • Lead the team technically (code reviews, design reviews, technical direction) • Establish standards for: • Internal APIs • API governance • Security and access to sensitive data • Observability and scalability • Work on integrating AI models and LLMs • Design solutions based on MCP (Model Context Protocol) • Ensure information security best practices and compliance (LGPD) • Act as a bridge between technical and strategic teams • Support stack decisions and technological evolution

• Develop REST APIs for internal consumption • Implement integrations with AI models and LLMs • Work with API Gateway and access policies • Implement secure authentication and authorization • Develop services for accessing internal data • Work with distributed architectures • Ensure quality, testing, and observability • Support the implementation of technical standards