Software Development Engineer - Python

• Software Application Development: Design, develop, test, and deploy production-grade applications, modules, and REST APIs using Python.
• Database Design & Management: Build, query, and optimize relational and/or non-relational databases connected to Python backends.
• Code Quality & Architecture: Write clean, readable, modular, and reusable Python code adhering to OOP, SOLID principles, and proper software engineering practices.
• System Optimization: Analyze application performance, debug bottlenecks, and optimize database queries and backend workflows.
• Testing & Version Control: Write unit tests, perform integration testing, and maintain code versioning through Git.
• Collaboration: Partner with cross-functional product, architecture, and engineering teams to turn feature requirements into technical solutions.

We are looking for a Software Engineer with a minimum of 2 years of hands-on experience in building scalable, robust software applications using Python., * Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field from a Tier-1 / Premium Institute.

• Core Python Expertise: Minimum 2+ years of dedicated experience in software development with Python (deep understanding of data structures, OOPs, asynchronous programming, modules, and packaging).
• Database Experience:
• Strong hands-on experience interfacing Python with databases using ORMs (e.g., SQLAlchemy, Django ORM) or native drivers.
• Practical knowledge of relational databases (PostgreSQL, MySQL) or NoSQL databases (MongoDB, Redis), including writing complex SQL queries and indexing.
• Backend / Web Frameworks: Proficiency with Python frameworks such as FastAPI, Django, or Flask.
• Software Engineering Fundamentals: Strong problem-solving skills, knowledge of data structures, algorithms, and system design basics.
• Development Tools: Proficient with Git, Linux environments, Docker, and RESTful API integration.

Preferred / Nice-to-Have

• Experience with message queues or event streams (e.g., RabbitMQ, Celery, Kafka).
• Exposure to cloud platforms (AWS / Azure / GCP) and CI/CD pipelines.

Key Competencies

• Strong analytical and logical reasoning skills.
• Obsession with code quality, test coverage, and software design patterns.
• Clear technical communication and collaborative mindset.