Staff Software Engineer: AI-Driven Networking

Extremenetworks; Seattle (WA); On-site; USD 140,000 - 200,000; Full time

Job summary

Extreme Networks seeks a Staff Software Engineer in Seattle, WA or San Jose, CA to help build scalable, real-time systems powering AI-driven networking. You will contribute to core platforms, mentor engineers, and lead design across distributed architectures.

The role emphasizes cloud-native, event-driven microservices and large-scale data processing, with opportunities to work on AI agentic features and observability. A strong CS background and 8+ years in software development are expected.

Qualifications

• 8+ years of software development lifecycle experience.
• 8+ years of programming experience in Python, Java, Go, or C++.
• 5+ years leading design/architecture of large-scale distributed systems on cloud platforms (AWS/Azure/Google Cloud).
• Experience with real-time microservices, stream processing, and large-scale analytics.
• Experience mentoring engineers and leading technical teams.
• Experience building highly scalable, event-driven microservices and processing real-time data.

Responsibilities

• Lead development of core platforms and services processing large network/operational data and powering AI experiences.
• Contribute to scalable, secure, observable, and reliable distributed systems for enterprise use.
• Drive architecture and design decisions, mentor engineers, and collaborate across teams to ship production-grade software.

Skills

Python

Java

Go

C++

Distributed systems

Cloud platforms

Real-time microservices

Leadership

Mentoring engineers

AI / agentic systems

Observability

Scalability & latency

Education

Bachelor's degree in CS/Engineering/Math

Master’s or PhD in CS/Engineering/ML

Tools

Kafka

Spark

Flink

PySpark

MapReduce

Job description

Extreme Networks seeks a Staff Software Engineer in Seattle, WA or San Jose, CA to help build scalable, real-time systems powering AI-driven networking. You will contribute to core platforms, mentor engineers, and lead design across distributed architectures.

The role emphasizes cloud-native, event-driven microservices and large-scale data processing, with opportunities to work on AI agentic features and observability. A strong CS background and 8+ years in software development are expected.