• You develop features and user stories in both the frontend and backend — from design through production deployment • You work closely with Product Owners and testers to deliver user-friendly, high-performance features for our existing and new applications • You ensure code quality, testability, and maintainability through Clean Code, automated tests, and code reviews

• Analista desenvolvedor para atuar na tribo de conta. • Participar ativamente do desenvolvimento de novas funcionalidades com foco em backend. • Atuar nos projetos de modernização do conta corrente. • Realizar manutenção, correção de bugs e melhorias contínuas na aplicação. • Colaborar com times multidisciplinares, como produto, design, QA, backend, Segurança e DevOps. • Contribuir com revisão de código, testes e documentação técnica. • Monitoramento e performance de sistemas.

• Build a centralized reliability command center that gives teams a unified view of system health, risk, and reliability across services and environments. • Create AI agents that can assist with incident triage, root-cause exploration, log/trace summarization, and recommended next actions. • Create delightful developer-facing features and APIs that help engineers explore data, debug issues, and make better decisions. • Use AI-assisted development tools (e.g., Cursor, Claude, Copilot-like tools) as leverage to prototype, refactor, and ship high-quality code quickly. • Own projects end-to-end: requirements, architecture, implementation, testing, rollout, and iteration based on feedback. • Collaborate closely with partner teams (product, infra, data, SRE) to understand pain points and translate them into simple, powerful solutions.

• Build a centralized reliability command center that gives teams a unified view of system health, risk, and reliability across services and environments. • Create AI agents that can assist with incident triage, root-cause exploration, log/trace summarization, and recommended next actions. • Create delightful developer-facing features and APIs that help engineers explore data, debug issues, and make better decisions. • Use AI-assisted development tools (e.g., Cursor, Claude, Copilot-like tools) as leverage to prototype, refactor, and ship high-quality code quickly. • Own projects end-to-end: requirements, architecture, implementation, testing, rollout, and iteration based on feedback. • Collaborate closely with partner teams (product, infra, data, SRE) to understand pain points and translate them into simple, powerful solutions.