Job
Description
Key Responsibilities Design, implement, and maintain efficient, reusable, and reliable Python code. Collaborate with cross-functional teams including product managers, designers, and developers to deliver high-quality software solutions. Develop and integrate RESTful APIs and microservices. Participate in code reviews to ensure high code quality and adherence to best practices. Write clean, modular, and scalable code, focusing on performance and maintainability. Work with relational (SQL) and NoSQL (e.g., MongoDB) databases to manage data. Troubleshoot, debug, and optimize code for better performance and scalability. Contribute to system architecture design and ensure system optimization. Write unit and integration tests to ensure code quality and minimize regression. Continuously explore new technologies to improve development processes. Mentor junior developers and provide guidance on coding standards and problem-solving. Participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives. Team handling experience Required Skills & Qualifications B.Tech in Computer Science Engineering (CSE), Information Technology (IT), or a related field. 6-8 years of professional experience in Python development. Expertise with Python frameworks such as Django, Flask, or FastAPI. Strong understanding of object-oriented programming (OOP) principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies like Docker. Familiarity with version control systems like Git and CI/CD pipelines. Proficiency in working with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). In-depth understanding of data structures, algorithms, and design patterns. Ability to write clean, well-documented, and maintainable code. Strong problem-solving and debugging skills. Excellent communication and collaboration skills in an Agile environment. Nice-to-Have Skills Experience with front-end technologies such as React or Angular. Familiarity with Kubernetes for container orchestration. Exposure to message brokers like RabbitMQ or Kafka. Knowledge of machine learning or data science principles. Experience with GraphQL APIs. (ref:hirist.tech) Show more Show less
