₹16L – ₹22L/yr
Role overview
Job description
Senior Python Developer Experience 5–10 years of professional experience in Python development and backend engineering. Key Responsibilities Design, develop, and maintain robust backend services for SaaS application using Python. Build scalable and maintainable solutions for enterprise-grade applications, focusing on Oracle EBS and WinfoTest product enhancements. Develop RESTful APIs and integrate with CI/CD pipelines for continuous delivery. Implement event-driven architectures using tools like Kafka. Ensure adherence to security principles and best practices for cloud deployments. Collaborate with cross-functional teams to deliver high-quality solutions aligned with business requirements. Troubleshoot and optimise existing code for performance and reliability. Primary Skills Python (5–7 years) with frameworks such as Flask/Django. Event-Driven Systems (Kafka or similar) – 3–5 years. API Development – 3–5 years. Proficiency in asynchronous programming (e.g., asyncio, Celery). Strong knowledge of data structures and algorithms for optimised automation. Experience with unit testing frameworks (PyTest, unittest). Secondary Skills Experience with Oracle EBS and enterprise testing tools. Familiarity with cloud platforms (OCI/AWS/Azure). Knowledge of DevOps practices and CI/CD tools. Exposure to containerisation (Docker/Kubernetes). Familiarity with message queues (RabbitMQ, Redis). Knowledge of performance profiling and optimisation tools. Understanding of security best practices in Python applications. Experience with Selenium or Playwright . Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to mentor junior developers and contribute to technical design discussions.
About this listing
- Source: Winfo Solutions's official careers site · still listed there on 8 Nov 2026
- Posted 13 Aug 2026
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What they are looking for
Skills & requirements
Department · WinfoTest
Hiring company
Winfo Solutions
Accelerate business growth with Enterprise AI, cloud engineering, application modernization, intelligent automation, and managed services.
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