Senior Backend Developer (GenAI Solutions)

3 Months ago • 7 Years +

Job Summary

Job Description

As a Senior Backend Developer specializing in GenAI Solutions at Extreme Networks, you will be responsible for designing and implementing backend systems for GenAI applications using cloud-native technologies, developing and optimizing APIs, and designing and implementing high-performance distributed systems with Python and FastAPI. You will collaborate with ML teams to integrate machine learning models, manage workflows, and lead automated testing. Additionally, you will be involved in containerization, performance optimization, and ensuring security best practices. The role also involves mentoring junior developers and documenting processes. The job requires in-depth experience with Java, Python, FastAPI, and cloud platforms.

Must have:

Design and implement backend solutions for GenAI applications.
Develop scalable and efficient backend services and APIs.
Design and implement high-performance distributed systems.
Collaborate with ML teams to integrate models.
Manage workflows and optimize task queues.
Lead the development of automated tests.
Use Docker and Kubernetes for service management.
Conduct performance benchmarking and tuning.
Implement and maintain security protocols.
Mentor junior developers and communicate effectively.

Good to have:

Experience with cloud platforms like AWS, Google Cloud, or Azure.
Experience with distributed computing technologies like Kafka, Redis, and RabbitMQ.
Experience with load testing tools and performance tuning techniques.

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

ci-cd

kubernetes

fastapi

python

docker

java

redis

microservices

azure

nosql

aws

sql

rabbitmq

data-analytics

load-testing

Job Details

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 technologies.
API Development & Optimization: Develop scalable, efficient, and real-time backend services and APIs for ExtremeCloud applications.
Distributed Systems: Design and implement high-performance distributed systems with Python and FastAPI.
Collaborate with ML Teams: Work closely with ML Scientists and ML Engineers to integrate machine learning models into production-ready, scalable systems.
Workflow Management: Manage workflows using DAGs and optimize asynchronous task queues for seamless operations.
Automated Testing: Lead the development and execution of automated tests to ensure system reliability and high-quality standards.Containerization & CI/CD: Use Docker and Kubernetes for seamless service management, deployment, and continuous integration.
Performance Optimization: Conduct performance benchmarking, design reviews, and fine-tune system architecture for optimal performance.Security Best Practices: Implement and maintain security protocols for backend services.
Mentorship & Leadership: Mentor junior developers and foster a culture of continuous improvement and technical excellence.
Communication & Documentation: Document processes, track progress, and effectively communicate with both technical and non-technical stakeholders.

Qualifications

7+ 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.