Digiwagon Technologies Pvt Ltd is a next-generation digital engineering and AI innovation company driving enterprise transformation through intelligent, scalable, and secure technology ecosystems.
We specialize in AI-powered applications, custom software engineering, eCommerce solutions, cloud-native architectures, mobile and web development, and advanced UI/UX systems that accelerate digital evolution and operational excellence.
By integrating artificial intelligence, automation, and human-centered design, Digiwagon empowers enterprises to enhance agility, deliver intelligent customer experiences, and achieve sustainable digital growth in a data-driven era.
Digiwagon is building
AI-powered, data-driven digital products
that help enterprises scale faster and operate smarter. We are looking for a
Python Developer
who enjoys solving real-world problems, building scalable backend systems, and working with modern cloud-native architectures.
In this role, you will design and develop
robust Python services, REST APIs, and data pipelines
that power AI-enabled applications, analytics platforms, and enterprise solutions. You will collaborate closely with product, frontend, data, and DevOps teams to deliver
secure, high-performance, and scalable systems.
Requirements
Strong proficiency in
Python
with hands-on experience in backend frameworks such as
Django/Django REST Framework, Flask, or FastAPI
, including REST API design and HTTP fundamentals
Experience working with
databases and data layers
, including SQL databases (PostgreSQL/MySQL), exposure to NoSQL (MongoDB), and ORMs like Django ORM or SQLAlchemy
Knowledge of
secure backend development
, including authentication, authorization, API security, and best coding practices
Experience with
code quality and collaboration tools
, including Git-based workflows, unit testing (pytest/unittest), and clean, maintainable code practices
Understanding of
asynchronous programming
, Linux/Unix environments, and debugging production issues with effective
Root Cause Analysis (RCA)
Exposure to
data engineering concepts
, such as data extraction, ETL/live data pipelines, data warehouses, and data processing libraries (Pandas, NumPy)
Experience or familiarity with
cloud-native deployment
, including cloud platforms (AWS/Azure/GCP), Docker, CI/CD pipelines, and application monitoring
Understanding of
distributed systems
, including microservices architecture and message queues (Kafka, RabbitMQ, or similar)
Analytical mindset with strong problem-solving, planning, communication, and team collaboration skills
Exposure to
AI/ML workflows, automation scripts, or data-driven systems
is a plus
Responsibilities
Design, develop, and maintain
Python-based backend services
aligned with product and business requirements
Build and optimize
RESTful APIs
for performance and scalability
Implement
secure authentication and authorization mechanisms
Contribute code using
GitHub workflows
, including pull requests, branching strategies, and peer reviews
Develop and support
data pipelines, integrations, and backend processing services
Optimize system performance, reliability, and scalability
Collaborate with cross-functional teams to deliver high-quality features
Participate in code reviews and follow best engineering practices
Troubleshoot, debug, and resolve production issues effectively
Support deployment and monitoring of cloud-hosted applications
Benefits
5 Days Working with half-day on 1st Saturday of each month
15 Paid leaves a year + 3 additional Experience Based Leave
12 Holiday Leaves A Year
Team Building Activities + Annual Company Trip
Training And Professional Development
Employee Friendly Culture
Celebrations And Social Events