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Há 16 horas

Campo Largo, Brasil Kake Tempo inteiro

Senior Backend (Node+Python) Engineer Summary We're looking for a Senior Backend Engineer to join one of our key partners in building the next generation of digital commerce infrastructure.This role is focused on creating high-performance, scalable backend services that power mission-critical features for large-scale retailers and digital platforms.You will be part of a team that is shaping backend architecture, ensuring reliability under high transaction volume, and driving continuous innovation in a cloud-native environment.Responsibilities- Design, build, and maintain backend services and APIs using Node.js and Python.- Develop scalable and reliable systems capable of supporting high-traffic environments.- Implement data validation and service architecture using frameworks such as FastAPI and Pydantic.- Optimize and manage relational databases using PostgreSQL, ensuring performance and data integrity.- Deploy, monitor, and scale services in Google Cloud Platform, using best practices for cloud-native development.- Integrate backend services with Firebase for authentication, messaging, or real-time features.- Collaborate with cross-functional teams to define technical requirements and contribute to architectural decisions.- Troubleshoot production issues, identify bottlenecks, and implement long-term solutions for system reliability.Requirements- 5+ years of professional experience in backend engineering with Node.js and Python.- Strong expertise with PostgreSQL (schema design, indexing, query optimization, performance tuning).- Experience building RESTful APIs and backend services in production environments.- Hands-on experience with FastAPI and Pydantic , or equivalent Python frameworks.- Experience deploying and managing applications on Google Cloud Platform.- Familiarity with Firebase services (authentication, cloud messaging, or data synchronization).Nice to have- Experience working with microservices or event-driven architectures.- Knowledge of messaging systems (Kafka, Pub/Sub, RabbitMQ).- Experience with Docker, Kubernetes, or CI/CD pipelines.- Familiarity with observability tools and monitoring best practices.

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