Staff Backend Developer (Python, Microservices, GenAI - 9289)

Extreme Networks is seeking an experienced Senior Backend Developer with at least 7 years of experience in Python and microservices architecture, including synchronous and asynchronous web services. The successful candidate will join our high-performing agile team to develop backend systems that support GenAI applications, handling complex data flows and ensuring optimal system performance. 

Key Responsibilities:

• Develop and optimize backend services and APIs for ExtremeCloud - Applications, focusing on scalability, efficiency, and real-time performance. 
• Design and implement robust distributed systems using Python and FastAPI, ensuring high scalability and performance optimization. 
• Collaborate closely with ML Scientists and ML Engineers to integrate machine learning models into scalable, production-ready systems. 
• Manage and optimize workflows using DAGs, ensuring seamless integration and operation of asynchronous tasks and queue management. 
• Ensure the development and execution of automated tests, maintaining high standards of quality and system reliability. 
• Utilize Docker and Kubernetes for service management and deployment, facilitating continuous integration and delivery. 
• Conduct performance benchmarking and architecture design reviews to continually enhance system capabilities. 
• Implement and maintain security best practices across all backend operations. 
• Mentor junior developers and promote a culture of technical excellence and continuous improvement. 
• Document technical processes and communicate progress, challenges, and solutions effectively to both technical and non-technical stakeholders. 

Qualifications

• 7+ years of experience in Python with an in-depth knowledge of advanced features and libraries. 
• Expert knowledge of FastAPI and experience designing RESTful APIs. 
• Experience with SQL, NoSQL databases. 
• Extensive experience in designing and implementing sync/async microservices and distributed system architectures. 
• Experience with distributed computing. 
• Proven ability to handle big data, optimize workflows, and improve system performance. 
• Familiarity with cloud-based infrastructures such as AWS, Google Cloud, or Azure. 
• Experience in developing and maintaining cloud-based distributed computing and processing technologies like Kafka, Redis and RabbitMQ. 
• Proficient in Docker, Kubernetes, and modern CI/CD practices. 
• Experience with load testing tools and techniques.