• Architect and evolve large scale distributed search systems that process millions of events per minute in real time • Lead end to end design of scalable search solutions from requirements through production delivery • Drive improvements in platform reliability, performance, and resiliency across search services • Influence engineering standards by advocating for best practices in search architecture and query optimization • Partner with product managers and cross functional teams to align technical direction with business outcomes • Oversee indexing strategies and data modeling to improve search accuracy, latency, and scalability • Guide code quality through active participation in design discussions and code reviews • Resolve complex production challenges to maintain system stability and customer trust

• Design, develop, and maintain performance test coverage for new and existing Genesys Cloud features and services. • Build and improve software, frameworks, and automation used to generate load, analyse results, and investigate issues. • Partner with development teams to identify critical user journeys, performance risks, limits, and observability gaps early in the delivery lifecycle. • Consult with internal teams on instrumentation, monitoring, and alerting of microservices on AWS to improve reliability and performance. • Investigate stability and scalability issues using logs, metrics, traces, dashboards, and test artefacts to drive root-cause analysis. • Contribute to shared performance engineering services and processes, suggesting improvements through code, architecture, or workflow changes. • Participate in code reviews and provide technical guidance on performance-related design and implementation decisions. • Support test-environment health through incident response, post-incident analysis, and participation in on-call rotations as needed. • Collaborate across teams to ensure features are ready to withstand realistic and sometimes unexpected production-style usage patterns.

• Desenvolver soluções de alta qualidade, com código limpo, seguro e de fácil manutenção; • Analisar, interpretar e criticar as soluções especificadas, indicando possíveis conformidades; • Atuar com **autonomia e senso de dono**, buscando soluções para os desafios sem depender de direcionamentos constantes; • Demonstrar postura de **resolvedor de problemas**, superando obstáculos técnicos ou de negócio com agilidade e assertividade; • Implementar e manter soluções/sistemas, garantindo estabilidade e segurança; • Efetuar testes de verificação e validação das funcionalidades implementadas; • Documentar as soluções desenvolvidas para garantir rastreabilidade e padronização; • Avaliar e discutir problemas e soluções em conjunto com o time, sempre buscando o melhor resultado para os desafios encontrados; • Atuar de forma proativa na resolução de problemas técnicos ou de negócio; • Apoiar clientes internos e externos quando necessário, prestando suporte técnico; • Participar dos ritos (dailies, reviews, retrospectivas, plannings); • Colaborar com a evolução contínua das práticas e processos do time, visando aumento de produtividade e entrega de valor; • Apoiar o time diariamente, esclarecendo dúvidas de negócio e removendo impedimentos; • Acompanhar sua performance por meio das métricas e indicadores do time;

• Build AI Agent Frameworks: Develop the internal agents, LLMs, logic and reasoning loops, that allow AI agents to perform complex, multi-step tasks. • Develop Core SaaS Features: Engineer robust, full-stack enterprise web components, ensuring high performance and security across the application. • Data Engineering: Manage and optimize the interface between our AI agents and data. • Engineering Excellence: Write clean, secure, and maintainable code and lead rigorous code reviews and refactoring initiatives. • Automated Testing: Design and implement unit and functional tests to ensure the reliability of both traditional code and non-deterministic AI workflows.