Fullstack Developer at Software Company · Bengaluru (Bangalore) · 3 - 10 years · ₹3L - ₹10L / yr · Posted 1 Dec 2021

Required skills
- 4-8 years of web-based application development in Python/Django
- Experience in Terrafoam.
- Competence in using scripting languages to automate tasks (Perl, Bash, PowerShell, Ruby, Python/Django or similar).
- Experience in working with Linux/Unix platforms.
Location : Bangalore (Work from home till pandemic).

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Job Summary
We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.
Key Responsibilities
- Design, develop, test, and maintain Python-based applications.
- Develop RESTful APIs using Flask and/or Django.
- Build scalable data processing pipelines using PySpark.
- Write efficient SQL queries, stored procedures, and optimize database performance.
- Integrate applications with databases and third-party services.
- Collaborate with cross-functional teams to gather and implement business requirements.
- Troubleshoot, debug, and enhance application performance.
- Follow coding standards, perform code reviews, and maintain technical documentation.
Required Skills
- Strong proficiency in Python.
- Hands-on experience with Flask and/or Django.
- Experience with PySpark for large-scale data processing.
- Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
- Understanding of REST APIs and microservices architecture.
- Experience with Git/version control.
- Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Good problem-solving and analytical skills.
Preferred Skills
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with Docker and Kubernetes.
- Knowledge of CI/CD pipelines.
- Experience with Airflow or other workflow orchestration tools.
- Understanding of Agile/Scrum methodologies.
About the Role
We are looking for a motivated and detail-oriented Python Developer Intern to join our development team. This internship provides hands-on experience in real-world software development projects, backend systems, APIs, and automation tools.
You will work closely with senior developers and contribute to live projects, gaining practical exposure to modern development practices.
Key Responsibilities
- Assist in developing, testing, and maintaining Python-based applications
- Write clean, efficient, and reusable code
- Work on backend development and API integrations
- Participate in debugging and troubleshooting applications
- Collaborate with cross-functional teams (Design, QA, Data teams)
- Contribute to documentation and project reports
- Learn and apply best practices in software development
Required Skills & Qualifications
- Basic understanding of Python programming
- Familiarity with OOP concepts
- Knowledge of libraries/frameworks such as Django, Flask, or FastAPI (preferred but not mandatory)
- Basic understanding of databases (MySQL, PostgreSQL, or MongoDB)
- Good problem-solving skills
- Ability to work independently and in a team environment
- Strong communication skills
Preferred (Nice to Have)
- Knowledge of REST APIs
- Familiarity with Git/GitHub
- Understanding of HTML, CSS, and JavaScript
- Exposure to cloud platforms (AWS/Azure/GCP)
What You Will Gain
- Real-time project experience
- Mentorship from experienced developers
- Exposure to industry tools and workflows
- Internship Certificate upon successful completion
- Performance-based stipend (if applicable)
- Opportunity for full-time role based on performance
We are looking for an exceptional Python Backend Developer to join our engineering team. You will be responsible for managing the interchange of data between the server and the users, developing server-side logic, and ensuring high performance and responsiveness to requests from the front end. The ideal candidate must have a rock-solid foundation in core computer science concepts, specifically Object-Oriented Programming (OOP) and Data Structures and Algorithms (DSA), to design and implement highly scalable and optimised backend systems.
Responsibilities:
- Design, build, and maintain efficient, reusable, and reliable Python code.
- Develop robust, highly scalable, and low-latency backend architectures and APIs.
- Apply strong OOPS principles to build modular and maintainable software systems.
- Utilise advanced Data Structures and Algorithms (DSA) to solve complex computational problems and optimise application performance.
- Integrate user-facing elements developed by front-end developers with server-side logic.
- Implement security and data protection measures.
- Identify bottlenecks, troubleshoot bugs, and devise elegant solutions to mitigate these issues.
- Collaborate cross-functionally with product managers, front-end developers, and QA engineers to deliver high-quality features.
Requirements:
- Core Python: Strong proficiency in Python programming with a deep understanding of its quirks, ecosystem, and best practices.
- OOPs Expertise: Excellent command over Object-Oriented Programming concepts (Inheritance, Polymorphism, Encapsulation, Abstraction) and design patterns.
- DSA Proficiency: Strong problem-solving skills with a deep understanding of Data Structures (Arrays, Trees, Graphs, Hash Tables, etc. ) and Algorithms (Sorting, Searching, Dynamic Programming, etc. ).
- Frameworks: Hands-on experience with popular Python web frameworks such as Django, FastAPI, or Flask.
- Database Management: Solid understanding of relational databases (e. g., PostgreSQL, MySQL) and ORM (Object-Relational Mapper) libraries.
- API Development: Experience in designing and developing RESTful APIs.
- Version Control: Proficient understanding of code versioning tools, such as Git.
- Clean Code: A strong commitment to writing clean, readable, and properly documented code.
Good to Have (Optional):
- Experience with NoSQL databases (e. g., MongoDB, Redis).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Knowledge of asynchronous programming in Python (asyncio).







