Python Engineer

As a Senior Python Engineer with 45 years of experience in designing, developing, and optimizing scalable backend systems using Python (FastAPI), MongoDB, and Redis, your role will involve the following key responsibilities: - Design, develop, test, and deploy scalable backend applications using Python. - Write clean, efficient, and maintainable code following best practices. - Develop and integrate RESTful APIs, microservices, and data pipelines. - Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions. - Implement unit tests, CI/CD pipelines, and code reviews to ensure quality and reliability. - Optimize system performance, troubleshoot issues, and provide production support. - Contribute to architecture discussions and recommend improvements in design and technology stack. - Stay updated with emerging technologies and mentor junior developers when required. Qualifications and skills required for this role include: Must-have: - Education: Bachelor's degree in computer science, Engineering, MCA - Experience: 45 years of professional experience in Python backend development. - Strong proficiency in Python - Fast API frameworks. - Solid understanding of RESTful APIs, microservices architecture, and distributed systems. - Proficiency in databases MongoDB and memory database like Redis. - Experience with AWS cloud platform and containerization tools (Docker). - Strong debugging, problem-solving, and optimization skills. - Use of AI tools. - Excellent communication, collaboration, and stakeholder engagement skills. - Experienced in leveraging AI-powered tools like Cursor to enhance development efficiency and productivity. Preferred: - Knowledge of message brokers (SQS/Kafka/Celery). - Certifications in cloud platforms, Python. - Exposure to global enterprise projects and cross-cultural collaboration. In addition, the following skills and attributes are essential for success in this role: - Languages & Frameworks: Python-FastAPI, RESTful APIs, Microservices - Databases & Caching: MongoDB Atlas, Redis (ElastiCache) - DevOps & Tools: GitHub - Other Tools: Confluence, Jira Software - Strategic thinking & problem-solving ability to analyze complex problems and deliver innovative solutions. - Adaptability & growth mindset open to learning and embracing new technologies. - Collaboration & stakeholder management work effectively across teams and business units. - Customer-centric mindset focus on delivering scalable and reliable solutions. - Integrity & strong communication uphold ethical standards and communicate transparently. As a Senior Python Engineer with 45 years of experience in designing, developing, and optimizing scalable backend systems using Python (FastAPI), MongoDB, and Redis, your role will involve the following key responsibilities: - Design, develop, test, and deploy scalable backend applications using Python. - Write clean, efficient, and maintainable code following best practices. - Develop and integrate RESTful APIs, microservices, and data pipelines. - Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions. - Implement unit tests, CI/CD pipelines, and code reviews to ensure quality and reliability. - Optimize system performance, troubleshoot issues, and provide production support. - Contribute to architecture discussions and recommend improvements in design and technology stack. - Stay updated with emerging technologies and mentor junior developers when required. Qualifications and skills required for this role include: Must-have: - Education: Bachelor's degree in computer science, Engineering, MCA - Experience: 45 years of professional experience in Python backend development. - Strong proficiency in Python - Fast API frameworks. - Solid understanding of RESTful APIs, microservices architecture, and distributed systems. - Proficiency in databases MongoDB and memory database like Redis. - Experience with AWS cloud platform and containerization tools (Docker). - Strong debugging, problem-solving, and optimization skills. - Use of AI tools. - Excellent communication, collaboration, and stakeholder engagement skills. - Experienced in leveraging AI-powered tools like Cursor to enhance development efficiency and productivity. Preferred: - Knowledge of message brokers (SQS/Kafka/Celery). - Certifications in cloud platforms, Python. - Exposure to global enterprise projects and cross-cultural collaboration. In addition, the following skills and attributes are essential for success in this role: - Languages & Frameworks: Python-FastAPI, RESTful APIs, Microservices - Databases & Caching: MongoDB Atlas, Redis (ElastiCache) - DevOps & Tools: GitHub - Other Tools: Confluence, Jira Software - Strategic thinking & problem-solving ability to analyze complex problems and deliver innovative solutions. - Adaptability & growth mindset open to learning