• Progettazione, sviluppo, ottimizzazione e manutenzione del codice Java. • Analisi dei requisiti tecnico-funzionali e traduzione degli stessi in soluzioni software. • Produzione di documentazione tecnica.

• Criar e desenvolver soluções financeiras (aplicativos web e móveis) de alta qualidade, focadas na experiência do usuário. • Atuar diretamente na análise e resolução de problemas complexos em produção (troubleshooting). • Participar ativamente de diagnósticos técnicos junto a clientes e áreas internas. • Trabalhar com integrações via APIs, webservices e sistemas distribuídos. • Apoiar na definição de arquitetura e soluções técnicas para novos projetos. • Garantir qualidade técnica das entregas, incluindo revisão de código e boas práticas. • Apoiar times de QA, requisitos e implantação na validação de cenários técnicos. • Atuar em situações críticas que exigem resposta rápida e análise aprofundada.

• Ability to work autonomously to resolve technical problems. • Strong communication and collaboration with cross-functional teams. • Analytical skills for investigating and solving problems. • Proactive in identifying improvements. • Develop and evolve backend solutions based on microservices, with attention to quality, security and performance. • Implement and maintain REST APIs. • Participate in analysis and resolution of incidents in production environments. • Refactor system features to address technical debt and improve performance. • Work closely with technical areas, maintaining an integrated view of solutions. • Maintenance of legacy systems.

• Design and implement vehicle routing and scheduling algorithms using OR-Tools to generate optimal field assignments • Develop clustering algorithms to group workloads geographically and minimize travel time/cost • Implement constraint models (capacity, time windows, skills, priorities, survey rules) within the optimizer • Integrate the optimizer with the Mojo control system APIs for job intake, execution, and results publishing • Build batch and real-time optimization modes to support both scheduled and on-demand routing • Refactor optimizer components into modular, extensible strategy interfaces for new routing heuristics • Implement data preprocessing pipelines to normalize locations, distances, and travel matrices • Develop automated test harnesses validating solution correctness against known datasets and constraints • Implement “solution quality” scoring metrics (distance, balance, SLA adherence, cost) to evaluate goodness of routes • Create regression benchmarks comparing new algorithm performance vs. baseline outputs • Add parallel processing and scaling support to handle large route sets and high agent counts • Instrument services with logging and metrics to track runtime, solver performance, and solution quality • Package optimizer services for CI/CD deployment with reproducible builds and environment configs • Document routing logic, constraints, integration points, and operational runbooks • Provide production support, tuning, and continuous improvement of optimization heuristics and performance