Django Back-end Developer at Bodhisatva Artificial Intelligence Pvt Ltd · Jaipur · 1 - 2 years · ₹2.5L - ₹3.5L / yr · Profitable · Posted 7 Feb 2023
2. Completly handle website which is created by Django framework.
3. Handle payment gateway integration.

About Bodhisatva Artificial Intelligence Pvt Ltd
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Sr Backend Developer (Full Stack – Python / Django)
Preference: Please apply only if you are an IIT/NIT graduate and have strong hands-on experience in full-stack development with Python & Django.
Insurance/InsurTech experience is preferred. Strong engineering fundamentals and a willingness to learn the domain are more important.
Office location – Bangalore
Work mode – Onsite
Working Days – 5 days a week
Budget - 12-15 LPA
Work Experience - 2-5 years
Role Summary
We’re hiring Sr Backend Developers with strong full-stack Django expertise to own backend workstreams end-to-end and contribute to frontend development when needed. Hands-on Python/Django experience is essential.
(HTML, JavaScript, jQuery, CSS).
Key Responsibilities
Design, build, and maintain scalable backend services and APIs for Fuse-OS
Own medium-to-complex workstreams end-to-end: data models, APIs, background jobs, and light UI
wiring
Improve reliability, performance, observability, and maintainability of production systems
Apply sound engineering practices for multi-tenant SaaS (security, permissions, data isolation)
Collaborate closely with frontend, QA, and product/delivery to ship high-quality releases
Mentor other backend engineers through design discussions, pairing, and code reviews
Participate in architecture discussions and help evolve platform technical standards
Support production troubleshooting and continuous improvement of engineering quality
Required Skills & Qualifications
Solid experience with Django REST Framework, asynchronous job processing (e.g., Celery), Redis, and
PostgreSQL
Proven ability to design data models, write migrations, and ship maintainable APIs
Full-stack capability: HTML, JavaScript, jQuery, and CSS sufficient to complete UI wiring without blocking
frontend
Strong debugging skills across application, database, and background-job layers
Experience collaborating in Agile teams with clear quality standards and delivery cadence
Preferred / Nice to Have
Hands-on Selenium automation experience with Python (big plus)
AWS familiarity (compute, storage, messaging, monitoring, IAM basics) — optional but strongly preferred
Experience with multi-tenant architectures, containers, and production SaaS operations
Exposure to document/data processing pipelines, reconciliation-style systems, or enterprise integrations
Awareness of application security, RBAC, auditability, and privacy-by-design practices
Interest in AI-assisted product workflows and intelligent automation
What We Offer
Opportunity to build a category-defining Insurance Distribution Operating System (Fuse-OS)
Work on modern multi-tenant SaaS architecture with meaningful ownership and mentoring
Collaborative product and engineering culture focused on quality and customer outcomes
Exposure to enterprise SaaS, AI-enabled workflows, and large-scale operational systems
We are seeking talented software developers who are passionate about coding and building & scaling
products. If you love taking on new challenges and have a problem solving mindset to solve problems through
code, you will be a perfect fit for our rockstar engineering team.
Roles and Responsibilities:
● Design and develop backend architectures to support robust, scalable, and secure web applications and
systems with a focus on backend development using Django.
● Design, implement and maintain high quality RESTful APIs to support seamless communication between
frontend, backend and other services.
● Design, implement, and maintain database schemas. Ensure the integrity, performance, and security of
data.
● Ensure the scalability and reliability of our backend infrastructure on AWS. Ensure reliable management of
infrastructure on cloud aiming for 0 downtime of systems.
● Write clean, maintainable, and efficient code, while adhering to best practices and industry standards.
Develop and maintain documentation for our backend systems, APIs, and data models.
● Conduct high quality code reviews and provide feedback to other team members to ensure best practices
are adhered to.
● Take ownership of the development, testing, and deployment of web applications. Break down high-level
business problems into smaller chunks and build systems.
● Work closely with the frontend development team, product managers, and designers to plan new features
and optimize existing ones.
● Constantly aim to improve performance and optimize systems by identifying bottlenecks and resolving
them for increased efficiency.
● Stay up-to-date with the latest technologies such as LLMs, and implement them as and when required
Skills and Qualifications:
● Bachelor's degree in Computer Science, Computer Engineering or a related field.
● 4+ years of experience in full-stack web development, with a focus on backend development.
● Strong proficiency in Python and Django, including experience with Django Rest Framework.
● Experience working with SQL/PostgreSQL databases, including schema design, querying, and
optimization.
● Proficiency in AWS services such as EC2, RDS, S3, and Lambda.
● Familiarity of integrations with third party services and open source frameworks
● Strong understanding of data structures, algorithms, and software design patterns.
● Experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus.
● Familiarity with LLM frameworks such as Langchain, OpenAI, Anthropic, LLaMa is a plus.
● Strong problem-solving skills and ability to work in a fast-paced environment.
● Excellent communication and collaboration skills.
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).








