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Staff Backend Developer (Python, Microservices, GenAI - 92890) Ireland
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.
Key Skills
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