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

County Clare, Ireland (Remote)

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

2 Months ago • 7 Years + • Backend Development

About the job

15 skills required for this role

Test your skills to join the top 1% applicants for this job

python

microservices

kubernetes

fastapi

docker

scalability

ci-cd

redis

azure

nosql

aws

data-structures

sql

rabbitmq

load-testing

Job Description

Extreme Networks is looking for a Senior Backend Developer with 7+ years of experience in Python and microservices architecture. You'll be developing and optimizing backend services for GenAI applications, ensuring high scalability and performance. Strong experience with FastAPI, RESTful APIs, distributed systems, and cloud infrastructures is essential.

Must have:

Python, Microservices
FastAPI, RESTful
Distributed Systems
Cloud Infrastructures

Good to have:

SQL, NoSQL
Kafka, Redis
RabbitMQ, Docker
Kubernetes, CI/CD

Perks:

Global Leader
Diversity & Inclusion

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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.

We believe in “walking the walk” of our strong core values which enable us to successfully advance together. Diversity and Inclusion is a vital part of our values and beliefs, and we’re proud to foster an environment where every Extreme employee can thrive.

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.

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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