Role Description Atuar na manutenção e no desenvolvimento de novas funcionalidades no back-end utilizando Java; - Desenvolver, implementar e sustentar integrações entre sistemas; - Garantir a padronização e a qualidade das implementações; - Trabalhar em equipes multidisciplinares com metodologia ágil; - Participar ativamente das cerimônias Scrum; - Propor soluções técnicas eficientes, performáticas, escaláveis e alinhadas às necessidades do negócio; - Contribuir na formação e mentoria de outros desenvolvedores, promovendo boas práticas de codificação e padrões de back-end. Qualifications - Experiência sólida de mais de 5 anos como desenvolvedor(a) back-end; - Domínio em Java (versão 8+) e frameworks como Spring Boot, Spring Batch e JPA; - Experiência no desenvolvimento, integração e consumo de APIs REST e SOAP (DDD); - Vivência com bancos de dados Oracle e SQL Server, incluindo PL/SQL e modelagem de dados; - Experiência com mensageria, especialmente Kafka; - Conhecimento em ferramentas de versionamento como Git e SVN; - Experiência com tecnologias e ferramentas como Hibernate, OpenShift (OCP), JBoss 7.4, Jenkins e GitLab; - Familiaridade com metodologias ágeis (Scrum/Kanban); - Ensino superior completo em Ciência da Computação, Sistemas de Informação, Engenharia da Computação ou áreas correlatas; - Inglês técnico para leitura e compreensão; - Boa comunicação verbal e escrita, além de habilidades interpessoais. Requirements - Sólidos conhecimentos em fundamentos de ciência da computação (teoria, estruturas de dados e algoritmos); - Experiência com bancos NoSQL como CouchDB e Redis; - Conhecimentos em administração de servidores Linux (RedHat, Debian), incluindo permissões, estrutura de diretórios e scripts em Bash; - Experiência com ferramentas de monitoramento como Zabbix, Grafana e Dynatrace; - Conhecimento em Java Reflection; - Perfil analítico e pensamento crítico. Benefits - Adesão a apólice do plano de saúde (opcional); - Plataforma Boon, que oferece os seguintes benefícios: - Telemedicina 24h, com diversas especialidades; - Psicoterapia online e apoio em saúde mental; - Orientação social, jurídica e financeira; - Programas de cuidado para gestantes e pessoas com doenças crônicas; - Atendimento nutricional online; - Comunidades de apoio com acompanhamento de enfermeiras. - TotalPass e/ou Wellhub; - 10 dias úteis de ausência remunerada a cada 1 ano de contrato; - Onhappy: vantagens exclusivas em viagens, hospedagens e passagens aéreas; - Clube de benefícios com descontos exclusivos.

• Serve as a trusted technical advisor, driving strategic engagements in high-impact domains such as GenAI and Foundational models, AI infrastructure and scaling, digital twin, simulation, AI Agents, and shaping how these capabilities are adopted and scaled • Understand customer critical workloads, and advise on technical enablement strategies on NVIDIA stack integration • Guide partners and customers through the NVIDIA integration journey, fostering co-innovation and the development of next-generation solutions • Map, build, and expand a vibrant ecosystem of strategic partners to multiply growth opportunities, champion NVIDIA technologies, and track ecosystem trends • Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies • Work closely with partner engineering teams, technical leaders, and decision-makers to unpack goals, tackle technical challenges, and endorse protocols for successful integrations • Represent and advocate for the partner's technical needs and funnel feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps

• Serve as a trusted technical advisor to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools. • Work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks. • Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms. • Guide startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems. • Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap. • Build strong relationships with founders, CTOs, and technical leaders across the AI-native ecosystem to ensure NVIDIA is the platform of choice for the most innovative AI companies. • Support the creation of reference architectures, AI blueprints, and best practices that enable AI-native companies to deploy scalable AI applications and agentic systems. • Partner with NVIDIA’s Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies.

• You will work with an experienced team to design, develop and implement hyperscaling solutions to third party systems, increasing the extensibility of our systems and supporting external developers through great documentation. • You will build and refine API interfaces and service communications, ensuring clarity, scalability, and adaptability. • You’ll collaborate across teams to create efficient contracts and interfaces, leveraging your generalist mindset to approach varied challenges when supporting external developers. • You will maintain and enhance existing solutions, proactively identifying and resolving issues. • You will partner closely with product management, design, and engineering toward viable product development changes from discovery to delivery. • You’ll coach and mentor fellow engineers through pair programming, code reviews, and knowledge sharing.