Job Purpose
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 .
Note: We are specifically seeking a Python Software Developer/Engineer —someone who writes production-ready, clean, modular Python code and understands software design patterns, backend development, and database architecture—rather than a Python user/scripting user.
Key Responsibilities
- 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.
Required Skills & Qualifications
- 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.
- Seniority LevelEntry level
- Industry
- Engineering Services
- Employment TypeFull-time