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FE
Python Engineer
Fa Etvl Saasfaprod1 · India
About The Role
Key Responsibilities
- Design, develop, test, and maintain robust Python applications and services.
- Develop RESTful APIs and microservices using frameworks such as FastAPI, Flask, or Django.
- Write clean, reusable, and efficient code following best practices and coding standards.
- Collaborate with cross-functional teams to design and implement scalable software solutions.
- Optimize application performance, reliability, and security.
- Integrate applications with third-party APIs, databases, and cloud services.
- Troubleshoot, debug, and resolve production issues efficiently.
- Develop automated unit, integration, and performance tests.
- Participate in code reviews and mentor junior developers.
- Work in Agile/Scrum teams to deliver high-quality software within project timelines.
- Create and maintain technical documentation for applications and APIs.
- Support document processing, workflow automation, and data indexing solutions where applicable.
Required Skills
Programming
- Python (Advanced)
- Object-Oriented Programming (OOP)
- Data Structures & Algorithms
- Multithreading and Asynchronous Programming
Web Frameworks
- FastAPI (preferred)
- Flask
- Django
API Development
- REST APIs
- JSON
- OpenAPI/Swagger
- API Security (OAuth2, JWT)
Databases
- PostgreSQL
- MySQL
- MongoDB
- Redis
Cloud & DevOps
- AWS, Azure, or Google Cloud Platform
- Docker
- Kubernetes (preferred)
- CI/CD pipelines
- Git/GitHub/GitLab/Azure DevOps
Messaging & Caching
- RabbitMQ
- Apache Kafka (preferred)
- Redis Cache
- Celery
Testing
- PyTest
- Unit Testing
- Integration Testing
- Mocking Frameworks
Development Tools
- Visual Studio Code (VS Code)
- PyCharm
Required Experience
- 5–10 years of hands-on experience in Python application development.
- Strong experience developing RESTful APIs using FastAPI, Flask, or Django.
- Experience with relational and NoSQL databases.
- Knowledge of microservices architecture and distributed systems.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with containerization using Docker and orchestration with Kubernetes.
- Experience implementing CI/CD pipelines and version control using Git.
- Strong debugging, troubleshooting, and performance optimization skills.
- Experience working in Agile/Scrum environments.
Good to Have
- Basic understanding of Generative AI concepts and LLM usage.
- Experience with prompt engineering for classification, extraction, or summarization tasks.
- Familiarity with embeddings, semantic search, or retrieval-augmented generation (RAG).
- Exposure to OCR tools, PDF/document parsing, or workflow automation.
- Experience building AI-assisted features or human-in-the-loop review workflows.
OK
OK
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