Staff Backend Developer

4 weeks ago

Toronto ON, Canada Knewin Full time

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.
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