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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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