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About the Role We are seeking a high -caliber Python Developer with deep expertise in FastAPI and Django to join our core backend engineering team. In this role, you will be responsible for building the high -performance API architectures, microservices, and robust backend engines that power the Rubiscape Platform (The Enterprise AI Engine) and orchestrate sophisticated, real -time data pipelines and GenAI apps. Key Responsibilities Design, develop, and maintain high -concurrency, low -latency APIs and microservices using FastAPI for data streaming/AI inference and Django for robust enterprise workflows. Integrate complex backend layers with machine learning libraries, distributed task queues (e.g., Celery), and enterprise data sources via our 200+ pre -built connectors. Architect and implement secure database schemas, optimize heavy SQL/NoSQL queries, and manage data pipe lining frameworks to ensure maximum platform throughput. Enforce strict security, multi -tenancy isolation, and rigorous data governance standards across various cloud and air -gapped On -Premise deployment topologies. Requirements 36 years of intensive backend development experience using Python as the primary language. Proven track record of shipping production -ready applications using FastAPI (for asynchronous, high -speed APIs) and Django/DRF (for robust enterprise MVC/REST frameworks). Solid understanding of relational databases (PostgreSQL/MySQL) and caching/message brokers (Redis, RabbitMQ). Familiarity with containerization (Docker, Kubernetes) and handling data structures common in data science pipelines (Pandas, NumPy) is a solid advantage. .
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In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.