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The ideal candidate will have strong hands-on expertise in GCP, BigQuery, Python, FastAPI, OpenAI API integration, and Generative AI technologies along with proven experience leading engineering teams and driving technical decisions.\nThis role requires a combination of technical leadership, solution architecture, backend engineering, cloud technologies, and AI integration experience to deliver scalable, secure, and high-performance enterprise solutions.\nKey Responsibilities\nTechnical Leadership & Architecture\nOwn the end-to-end technical architecture and solution design for complex projects.\nLead and mentor engineering teams and provide technical guidance.\nDrive technical decision-making, technology selection, and implementation approaches.\nConduct architecture reviews, code reviews, and technical assessments.\nCollaborate with business stakeholders, product owners, and cross-functional teams.\n Cloud Engineering (GCP & BigQuery)Design and build cloud-native applications on Google Cloud Platform (GCP).\nDevelop and optimize BigQuery solutions for analytics and data processing workloads.\nIntegrate cloud services with applications, APIs, and data platforms.\nImplement cloud security, monitoring, access management, and deployment best practices.\nOptimize cloud performance, scalability, and resource utilization.\nPython & API DevelopmentDesign, develop, and maintain backend applications using Python.\nBuild and support RESTful APIs using FastAPI.\nIntegrate backend services with databases, cloud services, external platforms, and AI models.\nImplement authentication, logging, testing, monitoring, and API documentation.\nTroubleshoot and optimize application performance.\n Generative AI & OpenAI IntegrationDesign and implement AI-powered applications and Generative AI solutions.\nIntegrate OpenAI APIs and other Large Language Models (LLMs) into enterprise applications.\nDevelop AI-driven workflows and automation capabilities.\nEvaluate and implement 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