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Senior Software Engineer - Python
Sagility
Bengaluru, IND
Full-time
Mid · 4+ years experience
Hybrid
Discovered 3 weeks ago
PythonFastAPIDjangoDjango ChannelsRedis StreamsAlembic
Free
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PythonFastAPIDjango
Key Skills for This Role
PythonFastAPIDjangoDjango ChannelsRedis StreamsAlembic
Full Job Posting
Key Responsibilities
- Design, develop, and maintain scalable backend services and APIs using Python.
- Build real-time communication features using WebSockets and frameworks such as FastAPI or Django Channels.
- Work with Redis Streams for event-driven data processing, messaging, and asynchronous workflows.
- Manage database schema changes and migrations using tools such as Alembic or Django migrations.
- Design, implement, and optimize ORM-based data models and database queries.
- Write and maintain unit and integration tests to ensure code quality, reliability, and maintainability.
- Use Git for version control and Docker for containerized development and deployment.
- Collaborate with cross-functional teams to design scalable system architectures and improve CI/CD practices.
- Troubleshoot, debug, and optimize application performance across backend services and infrastructure components.
- Contribute to code reviews, technical discussions, and continuous improvement of engineering practices.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Minimum 4 years of professional experience in backend or software development.
- Strong proficiency in Python and asynchronous programming using async/await.
- Hands-on experience with backend frameworks such as FastAPI, Django, or similar.
- Experience with Git, Docker, unit testing, and ORM frameworks such as SQLAlchemy or Django ORM.
- Familiarity with Redis Streams and WebSockets for real-time or event-driven applications.
- Good understanding of database design, schema management, and migration tools.
- Experience designing and developing RESTful APIs or microservices-based applications.
- Familiarity with CI/CD pipelines and cloud deployment on AWS, GCP, or Azure.
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