• Design and evolve Node.js / NestJS services powering systems that operate at scale • Take architectural decisions that balance scale, cost, and long-term maintainability • Build well-typed, thoughtful REST contracts for high volume flows • Think in versioning, backward compatibility, and clean boundaries • Model and optimize MongoDB / Firestore schemas for high read/write workloads • Design atomic updates and consistency strategies for distributed systems • Implement queues, caching layers, and rate limiting to handle burst traffic gracefully • Design for failure modes before they happen • Ship modular Vue 3 UIs that efficiently consume APIs • Optimize realtime updates and state management (Pinia) • Improve Core Web Vitals and perceived performance • Instrument logs, metrics, traces, and alerts • Participate in on-call • Debug real production issues • Drive post-mortems to meaningful closure (not just documents) • Review code thoughtfully • Support junior engineers • Raise engineering standards across the team

• Own the full lifecycle of Opportunities backend: translate business and customer needs into scalable, production-grade services • Design and evolve the data model for pipelines, stages, deals, and associated entities — getting consistency, throughput, and query patterns right • Build and scale APIs, event-driven workflows, and background jobs that handle high-volume writes, automations, and integrations • Tackle distributed systems concerns: idempotency, eventual consistency, race conditions, hot tenants, and noisy-neighbor isolation • Improve performance and reliability of large pipelines (millions of opportunities per workspace) through indexing, sharding, caching, and query optimization • Ship end-to-end when needed — including UI changes in Vue — without blocking on cross-functional handoffs • Instrument the system: logs, metrics, traces, and SLOs that make production behavior legible • Drive incident response, postmortems, and the engineering hygiene that keeps a high-traffic product healthy

• Projetar, desenvolver, testar, implementar e manter soluções de software de alta qualidade • Traduzir requisitos de negócios e funcionais em especificações técnicas claras • Colaborar na arquitetura de sistemas, implementação e testes • Solucionar problemas e resolver questões técnicas relatadas por equipes internas ou clientes • Contribuir para o desenvolvimento de aplicações voltadas para o usuário e serviços de backend • Promover e manter padrões de desenvolvimento e melhores práticas de engenharia de software • Participar ativamente de revisões de código, programação em par e cerimônias ágeis • Fornecer insights no planejamento de projetos e na tomada de decisões técnicas.

Role Description You will be: - designing and implementing new functionalities for a real-time threat detection platform, - building and extending streaming pipelines using Apache Flink, - developing business logic mainly in Flink SQL, with critical components implemented using Java Datastream API, - maintaining and troubleshooting production-grade distributed systems, - improving platform performance, scalability, and reliability, - supporting internal teams using the solution, - evaluating new technologies and building proof-of-concepts for specific use cases, - contributing to the continuous development of an internal platform for managing Flink SQL jobs, - having opportunities to contribute to open-source projects. Qualifications - strong hands-on experience with Apache Flink, - solid experience with Flink SQL, - practical knowledge of Java, especially in distributed/streaming systems, - experience working with Apache Kafka, - good understanding of Kubernetes, - experience with Flink Kubernetes Operator, - familiarity with pyFlink, - ability to work independently and take ownership of technical solutions, - strong problem-solving skills in complex distributed environments, - good communication skills and collaborative mindset, - fluent English, - practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Requirements - Work from the European Union region and a work permit are required. Nice to have - cloud-native environments, especially AWS, - workflow orchestration tools such as Temporal, - Java ecosystem frameworks, including Spring Boot and Spring Batch, - databases and storage technologies like PostgreSQL, Redis, or Neo4j, - monitoring and observability tooling (Grafana, Prometheus), - logging and analytics platforms such as ELK Stack, - experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, - interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process - CV review – - HR call – - Interview – - Client Interview – - Decision