Role Description - Projetar, desenvolver e manter APIs e serviços backend utilizando stacks como Node.js, .NET ou equivalentes. - Criar e manter integrações entre sistemas internos e externos via REST e/ou GraphQL. - Modelar e otimizar estruturas de dados e consultas em bancos SQL e/ou NoSQL. - Implementar mecanismos de segurança, autenticação e autorização (ex.: OAuth2, JWT). - Desenvolver processos assíncronos, filas, workers e estratégias de cache. - Construir interfaces modulares, responsivas e acessíveis utilizando React (com Hooks). - Criar componentes reutilizáveis e seguir padrões de UI / Design System. - Gerenciar estados com Redux, Context API ou bibliotecas equivalentes. - Aplicar boas práticas de performance (lazy loading, code splitting, otimizações). - Participar da definição da arquitetura das aplicações, avaliando trade‑offs técnicos. - Garantir qualidade de código, versionamento, code review e padrões de engenharia. - Conduzir POCs e spikes técnicos para validação de soluções. - Atuar em conjunto com times de produto, UX, QA e negócio. Qualifications - Experiência sólida como Desenvolvedor(a) Fullstack Sênior. - Experiência comprovada em Node.js, .NET ou stacks equivalentes. - Experiência com React e desenvolvimento frontend moderno. - Integrações via APIs REST e/ou GraphQL. - Experiência com bancos de dados relacionais e/ou NoSQL. - Uso de Git e práticas de versionamento colaborativo. - Vivência em ambientes corporativos de média/grande complexidade. Requirements - Experiência em projetos regulatórios ou sistemas críticos. - Vivência em operadoras de saúde ou sistemas corporativos complexos. Competências Comportamentais - Boa comunicação e trabalho em equipe. - Proatividade e senso de responsabilidade. - Capacidade de atuar sob prazos definidos. - Organização e foco em entrega.

• Collect, collate and make useful data from 50+ data sources such as CRM, public data, communication streams • Design data pipelines that can do this across TBs of data, reliably • Design AI systems that can reason and act on messy data • Build applications and data consumption mechanisms that elevate a seller’s life and maximizes revenue instead of building the #45768 sales tech tool. • Balance accuracy, latency, and cost across thousands of concurrent agent runs

• As a Staff Engineer, you'll define technical strategy, lead technology adoption, mentor junior engineers, and ensure project success. • You'll review code, solve complex issues, perform root cause analysis, and collaborate with cross-functional teams. • Your role includes driving innovation, maintaining documentation, optimizing performance, and implementing continuous improvements, making a significant impact on our engineering excellence and success. • Join us to lead, innovate, and shape our technology's future! • Define and communicate the technical vision and strategy for projects. • Lead the adoption and integration of new technologies and best practices. • Provide mentorship and technical guidance to junior engineers. • Conduct technical workshops and training sessions to upskill the team. • Develop comprehensive project plans, timelines, and milestones. • Coordinate with project managers to ensure timely and successful project delivery. • Review code for quality, performance, security, and adherence to standards. • Resolve complex technical challenges and bottlenecks using advanced techniques. • Perform root cause analysis to identify and address underlying issues. • Collaborate with product managers, designers, and other stakeholders to align technical solutions with business goals. • Communicate technical updates and progress to non-technical stakeholders effectively. • Identify opportunities for innovation and develop prototypes and proof-of-concept projects. • Implement continuous process improvements and best practices. • Create and maintain comprehensive technical documentation, including system architecture and design decisions. • Analyze and optimize system performance, implementing tuning and scaling strategies.

• Architect and maintain automation pipelines combining internal tools with GPT/Claude and other LLMs • Integrate data across third-party APIs into unified, automated workflows • Leverage structured generation to ensure robust, correct LLM outputs • Collaborate with Ops and R&D to identify high-impact automation opportunities • Write production-grade code with emphasis on modularity, reliability, and error handling • Deploy, scale, and optimize solutions in a secure, cloud-based environment • Document solutions for both technical and non-technical audiences