Python Fullstack

4 weeks ago


Mumbai, India Fynd Full time

Job Description Key Responsibilities Engineering Leadership - Lead and mentor a team of full-stack developers (Python, React.js, Node.js, etc.). - Drive technical excellence, code quality, and best engineering practices. - Define and implement scalable system architectures for high-performance applications. Technical Strategy & Architecture - Own the end-to-end technical design for Python Fullstack applications. - Optimize database structures, backend APIs, and frontend performance. - Ensure microservices-based architecture, CI/CD automation, and cloud scalability. Team & Project Management - Hire, mentor, and develop top engineering talent. - Manage agile development processes, ensuring timely delivery and high quality. - Collaborate with Product Managers, Designers, and other stakeholders to align technical solutions with business needs. Technical Stack & Development - Backend: Python, Django/FastAPI, Node.js - Frontend: React.js, Next.js - Databases: PostgreSQL, MongoDB, Redis - DevOps & Cloud: AWS, Docker, Kubernetes, CI/CD pipelines - Tools: Git, Jira, Elasticsearch, Kafka Performance & Security - Optimize system performance, scalability, and reliability. - Implement security best practices, authentication, and authorization (OAuth, JWT). - Monitor and improve system observability using logging, monitoring, and alerting tools. Required Skills & Qualifications Must-Have - 8+ years of experience in software development, with at least 2-3 years in a managerial role. - Expertise in Python full-stack development (Django/FastAPI for backend, React.js for frontend). - Strong knowledge of microservices architecture, RESTful APIs, and event-driven systems. - Experience in cloud platforms (AWS, GCP, or Azure) and DevOps automation. - Hands-on experience with SQL & NoSQL databases (PostgreSQL, MongoDB, Redis). - Excellent problem-solving skills and system design expertise. Good-to-Have - Experience with AI/ML, big data, or analytics-driven applications. - Knowledge of serverless architectures and edge computing. - Familiarity with GraphQL, WebSockets, and real-time data processing. - Experience with e-commerce, SaaS, or fintech platforms.



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