• Design, develop, and maintain SQL and PL/SQL code to support application functionality and performance • Write efficient, reliable, and well-documented stored procedures, functions, and triggers • Identify and resolve performance bottlenecks through query optimization and schema design improvements • Collaborate with cross-functional teams to gather requirements and implement database features end-to-end • Provide technical support for client-facing issues related to database behavior and performance • Contribute to code reviews, testing, and documentation to ensure high quality standards • Share knowledge with junior team members and support their professional growth

• Desenvolver e manter funções escaláveis utilizando AWS Lambda e orquestração de fluxos complexos com Step Functions. • Atuar com DynamoDB, garantindo performance, escalabilidade e padrões de acesso eficientes (Single Table Design). • Implementar comunicações assíncronas e desacopladas utilizando SQS e SNS. • Construir e gerenciar interfaces de alta disponibilidade via API Gateway. • Implementar soluções de IA Generativa, incluindo arquiteturas de RAG (Retrieval-Augmented Generation) e orquestração de Agentes. • Aplicar práticas de Spec-Driven Development e garantir a integração contínua dentro do ciclo de vida de IA (AI-DLC).

• Design and maintain backend systems using Java and Spring Boot, integrating the ecosystem with artificial intelligence models to develop an intelligent chatbot. • Implement and optimize connections to large language models (LLMs), focusing on performance and interaction quality. • Use AI-assisted coding tools to optimize code writing, testing, and documentation. • Build scalable RESTful APIs that support natural language processing workloads. • Implement efficient data flows using databases (relational and non-relational) and messaging systems (such as Kafka or RabbitMQ). • Ensure platform stability through JUnit, Mockito, and Clean Code practices. • Work with Docker and Kubernetes within a CI/CD culture for continuous delivery.

• Design, build, and operate backend services and data pipelines that power Spotify Rights Center • Partner closely with product, insights, design, and engineering peers to understand the needs of external rightsholders and internal partners • Deliver scalable, testable, maintainable backend systems with strong operational ownership • Help evolve the platform architecture as it expands to more licensors, territories, and content types, including shifts from batch processing toward event-driven patterns • Support timely delivery of technical solutions aligned to business needs • Contribute to modern engineering practices, including agile ways of working and healthy engineering standards • Integrate with Spotify’s broader content and moderation ecosystem as needed • Contribute to a healthy, collaborative team culture aligned to how we work together • Collaborate on product ideation with specialists, researchers, product managers, and subject-matter experts • Grow your skills through hands-on work, feedback, and learning opportunities (hack days, reading groups, internal courses)