Senior Python Developer

📋 Description

• Design, develop, and sustain complex, large-scale Python applications.

• Create clean, efficient, reusable, and testable Python code in accordance with best practices.

• Construct and enhance backend services, APIs, and microservices.

• Engage in system architecture design and contribute to technical decision-making.

• Develop and incorporate AI/ML-based functionalities into applications (e.g., LLMs, NLP, data extraction, analytics).

• Work with AI frameworks, models, and inference pipelines as part of operational systems.

• Optimize AI workflows to improve performance, accuracy, and scalability.

• Design, implement, and refine data models using PostgreSQL (or other relational databases) and MongoDB (and/or other NoSQL databases).

• Efficiently manage large datasets with optimized queries and indexing strategies.

• Ensure data integrity, performance tuning, and scalability.

• Architect scalable, fault-tolerant, and secure systems.

• Enhance system performance, memory usage, and latency.

• Implement robust error handling, logging, and monitoring mechanisms.

• Collaborate with architects, product managers, data scientists, and DevOps teams.

• Review code and mentor junior developers.

• Contribute to technical documentation, design reviews, and best-practice standards.

• Write and maintain unit tests, integration tests, and automated test suites.

• Ensure high code quality and compliance with SDLC best practices.

• Participate in CI/CD pipelines and prepare for deployment.

⛳️ Requirements

• Over 7 years of substantial hands-on experience in Python development.

• Proficiency in Python frameworks such as FastAPI, Flask, Django (or similar).

• Strong grasp of Object-Oriented Programming (OOP).

• Familiarity with design patterns.

• Knowledge of data structures and algorithms.

• Extensive experience with PostgreSQL (schema design, joins, indexing, performance tuning).

• Strong background in MongoDB (document modeling, aggregation pipelines).

• Experience working with both SQL and NoSQL databases in a production environment.

• Experience in building or integrating AI/ML features into applications.

• Exposure to Machine Learning and Natural Language Processing (NLP).

• Experience with LLM-based systems is preferred.

• Ability to work with data-intensive and intelligence-driven applications.

• Proficient in using AI tools such as GitHub Copilot.

🏝️ Benefits

• Opportunities for professional development.