Python Engineer

Job Summary We are seeking an experienced Python Full Stack Developer with 3 to 8+ years of hands-on experience in developing scalable, high-performance web applications. The ideal candidate should have strong expertise in backend development using Python (Django/FastAPI/Flask) along with frontend development using React.js or Angular . The role involves designing end-to-end solutions, developing responsive user interfaces, building robust APIs, and collaborating with cross-functional teams to deliver enterprise-grade applications. Key Responsibilities Design, develop, and maintain scalable full-stack applications using Python and React.js/Angular . Develop responsive and user-friendly frontend interfaces using React.js or Angular . Build, optimize, and maintain RESTful APIs , backend services, and microservices. Collaborate with UI/UX designers, product managers, QA, and DevOps teams to deliver high-quality software. Integrate frontend applications with backend APIs and third-party services. Optimize application performance, scalability, and security. Write clean, maintainable, and reusable code following coding standards and best practices. Troubleshoot, debug, and resolve production issues. Participate in code reviews, sprint planning, and Agile development processes. Ensure application reliability through testing, monitoring, and continuous improvement. Required Skills 3 to 8+ years of experience in Python application development. Strong proficiency in Python with frameworks such as Django, Flask, or FastAPI . Hands-on experience with React.js or Angular for frontend development. Strong knowledge of JavaScript, TypeScript, HTML5, CSS3 , and responsive web design. Experience in building and consuming REST APIs . Good understanding of Microservices Architecture . Strong knowledge of relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB , or similar. Experience with Git and version control best practices. Familiarity with CI/CD pipelines . Experience working in Agile/Scrum development environments. Preferred Skills Experience with Docker and Kubernetes . Hands-on experience with cloud platforms such as AWS, Azure, or GCP . Knowledge of message queues such as RabbitMQ or Kafka . Experience with Redis or other caching technologies. Exposure to AI/ML, Generative AI, LLMs, or Data Engineering is an added advantage. Familiarity with automated testing frameworks and DevOps practices. Good to Have Experience with GraphQL. Understanding of authentication mechanisms such as OAuth2, JWT, and SSO . Knowledge of monitoring and logging tools. Strong analytical, problem-solving, and communication skills.