Extreme Networks Named to Computerworld’s 2023 List of Best Places to Work in IT! Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before and with double digit growth year over year, no provider is better positioned to deliver better outcomes on scale, than Extreme. Come become part of something big with us! We are a global leader, with hubs in Europe, North America, South America, Asia Pacific, and the Middle East.

Key Responsibilities:Design & Implement Backend Solutions: Build and optimize backend systems for GenAI applications using cutting-edge cloud-native  Development & Optimization: Develop scalable, efficient, and real-time backend services and APIs for ExtremeCloud  Systems: Design and implement high-performance distributed systems with Python and with ML Teams: Work closely with ML Scientists and ML Engineers to integrate machine learning models into production-ready, scalable Management: Manage workflows using DAGs and optimize asynchronous task queues for seamless Testing: Lead the development and execution of automated tests to ensure system reliability and high-quality & CI/CD: Use Docker and Kubernetes for seamless service management, deployment, and continuous Optimization: Conduct performance benchmarking, design reviews, and fine-tune system architecture for optimal Best Practices: Implement and maintain security protocols for backend & Leadership: Mentor junior developers and foster a culture of continuous improvement and technical & Documentation: Document processes, track progress, and effectively communicate with both technical and non-technical stakeholders.Qualifications7+ years of experience in Java and Python, with deep expertise in advanced features and libraries.Expert-level knowledge of FastAPI, OpenAPI, and gRPC.Extensive experience with SQL and NoSQL databases.Proven track record in designing and implementing both synchronous and asynchronous microservices and distributed systems.Hands-on experience in building resilient, scalable distributed systems.Strong ability to handle big data and optimize workflows for performance.Familiarity with cloud platforms like AWS, Google Cloud, or Azure.Experience with distributed computing technologies like Kafka, Redis, and RabbitMQ.Proficiency in Docker, Kubernetes, and modern CI/CD practices.Experience with load testing tools and performance tuning techniques.