Job
Description
As an experienced Python Developer with 5-6 years of professional expertise, you will be responsible for designing, developing, testing, and maintaining efficient, reusable, and reliable Python code. You will build and optimize backend services, APIs, and integrations with third-party systems. Collaboration with front-end developers, product managers, and QA teams is essential to ensure seamless functionality and performance. Additionally, you will implement data storage solutions using SQL/NoSQL databases, ensure application performance, scalability, and security, troubleshoot, debug, and upgrade existing systems. Keeping updated with emerging technologies and contributing to continuous process improvement are also key responsibilities. Key Responsibilities: - Design, develop, test, and maintain efficient, reusable, and reliable Python code. - Build and optimize backend services, APIs, and integrations with third-party systems. - Collaborate with front-end developers, product managers, and QA teams. - Implement data storage solutions using SQL/NoSQL databases. - Ensure application performance, scalability, and security. - Troubleshoot, debug, and upgrade existing systems. - Stay updated with emerging technologies and contribute to continuous process improvement. Qualifications Required: - 5-6 years of professional experience as a Python Developer or in a similar role. - Strong expertise in Python (3.x) and popular frameworks (e.g., Django, Flask, FastAPI). - Solid understanding of RESTful APIs, microservices architecture, and web technologies. - Experience with databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB, Redis). - Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment pipelines (CI/CD). - Strong understanding of data structures, algorithms, and OOP concepts. - Proficiency with version control systems (Git) and Agile methodologies. - Ability to write clean, scalable, and maintainable code with proper documentation. - Excellent analytical, problem-solving, and communication skills. Good To Have: - Knowledge of Docker, Kubernetes, or containerized deployments. - Experience with machine learning libraries (Pandas, NumPy, TensorFlow, PyTorch) or big data tools. - Exposure to front-end technologies (React, Angular, or Vue.js). Please note that the company is not mentioned in the provided job description. As an experienced Python Developer with 5-6 years of professional expertise, you will be responsible for designing, developing, testing, and maintaining efficient, reusable, and reliable Python code. You will build and optimize backend services, APIs, and integrations with third-party systems. Collaboration with front-end developers, product managers, and QA teams is essential to ensure seamless functionality and performance. Additionally, you will implement data storage solutions using SQL/NoSQL databases, ensure application performance, scalability, and security, troubleshoot, debug, and upgrade existing systems. Keeping updated with emerging technologies and contributing to continuous process improvement are also key responsibilities. Key Responsibilities: - Design, develop, test, and maintain efficient, reusable, and reliable Python code. - Build and optimize backend services, APIs, and integrations with third-party systems. - Collaborate with front-end developers, product managers, and QA teams. - Implement data storage solutions using SQL/NoSQL databases. - Ensure application performance, scalability, and security. - Troubleshoot, debug, and upgrade existing systems. - Stay updated with emerging technologies and contribute to continuous process improvement. Qualifications Required: - 5-6 years of professional experience as a Python Developer or in a similar role. - Strong expertise in Python (3.x) and popular frameworks (e.g., Django, Flask, FastAPI). - Solid understanding of RESTful APIs, microservices architecture, and web technologies. - Experience with databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB, Redis). - Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment pipelines (CI/CD). - Strong understanding of data structures, algorithms, and OOP concepts. - Proficiency with version control systems (Git) and Agile methodologies. - Ability to write clean, scalable, and maintainable code with proper documentation. - Excellent analytical, problem-solving, and communication skills. Good To Have: - Knowledge of Docker, Kubernetes, or containerized deployments. - Experience with machine learning libraries (Pandas, NumPy, TensorFlow, PyTorch) or big data tools. - Exposure to front-end technologies (React, Angular, or Vue.js). Please note that the company is not mentioned in the provided job description.
