Senior Python Backend Developer

Requirements:

• 3+ years of hands-on experience developing production-grade Python applications. 
• Demonstrated excellent communication skills with ability to articulate complex technical concepts to both technical and non-technical stakeholders. 
• Strong mastery of Core Python, advanced data structures, OOPs principles, exception handling, and logical problem-solving with proven ability to optimize existing codebases. 
• 3+ years of professional experience with Python frameworks, with expertise in FastAPI (or substantial experience with Flask/Django). 
• Advanced knowledge of REST API development, API architecture patterns, and API security (JWT/OAuth/API key management). 
• Proven experience designing and working with both SQL databases (MySQL/PostgreSQL) and NoSQL databases (MongoDB/Firestore), including complex schema design and query optimization. 
• Solid understanding of cloud platforms (GCP or AWS) with hands-on experience in deployments and infrastructure management. 
• Expert-level proficiency with Git, branching strategies, code reviews, and collaborative development workflows. 
• Deep understanding of performance optimization, system design principles, and writing clean, scalable, efficient code. 
• Fluent English communication — able to explain complex ideas clearly and mentor junior developers. 

Responsibilities:

• Lead the development, testing, and maintenance of high-quality Python applications using FastAPI (or Flask/Django) with emphasis on best practices and architectural patterns. 
• Design and implement robust RESTful APIs with deep understanding of request/response cycles, comprehensive data validation, error handling, and multi-layered authentication mechanisms. 
• Architect and optimize database solutions using SQL (MySQL/PostgreSQL) and NoSQL (MongoDB/Firestore), including advanced schema design, indexing strategies, and query optimization. 
• Build and maintain scalable, maintainable backend components with strong focus on performance, high availability, security, and fault tolerance. 
• Collaborate with cross-functional teams to understand complex requirements and translate them into elegant, efficient technical solutions. 
• Write production-grade, reusable, testable, and highly efficient code adhering to established best practices, coding standards, and architectural guidelines. 
• Conduct thorough debugging, troubleshooting, and performance tuning; identify and resolve bottlenecks in production systems. 
• Integrate with diverse data sources and third-party services; implement reliable data pipelines and service integrations. 
• Preferred: Demonstrated experience with Google Cloud ecosystem (BigQuery, Dataflow, Notebooks, Cloud Functions, Pub/Sub) for building data pipelines and analytics solutions. 
• Deploy and manage applications in cloud environments (GCP/AWS); work with cloud storage, logging, monitoring, and auto-scaling configurations. 
• Utilize version control tools (Git/Bitbucket) and collaborate effectively using branching strategies and code review processes. 
• Build and maintain data pipelines using Dataflow/Apache Beam and BigQuery for large-scale data processing. 
• Lead or contribute to microservices architecture initiatives; design services for independent deployment and scalability. 
• Leverage caching layers (Redis), search engines (Elasticsearch), and message queues (Pub/Sub, RabbitMQ, Kafka) to build high-performance systems. 
• Implement containerization using Docker and establish or improve CI/CD pipelines for automated testing and deployment. 
• Utilize data manipulation libraries (Pandas/NumPy) for data analysis and transformation tasks at scale. 
• Mentor junior developers and conduct code reviews to ensure code quality and knowledge sharing.