---
title: 'PRINCIPAL QA SW ENGINEER 10379-  Layer2/Layer3 Protocol Testing- Python |Data Center Networking at Extreme Networks'
canonical: 'https://feeny.ai/job/principal-qa-sw-engineer-10379-layer2-layer3-protocol-testing-python-data-10c0ga6wmvw1'
type: 'job'
last_seen: '2026-09-15'
---

# PRINCIPAL QA SW ENGINEER 10379-  Layer2/Layer3 Protocol Testing- Python |Data Center Networking at Extreme Networks

- **Company:** Extreme Networks
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.lever.co/extremenetworks/39dfca22-8f7d-40f8-bc1d-78ce7c2685ba

## Job description

Role Overview:

Experience: 13-20 Years

## Role: PRINCIPAL QA SW ENGINEER

We are seeking a highly skilled Solution Test Engineer to validate end-to-end solutions across modern data center and 5G networking environments. This role combines manual and automated testing, ensuring high-quality delivery of IP fabric-based solutions through robust validation frameworks developed in Python and Go (Golang).

## Key Responsibilities

- Design, develop, and execute test plans and test cases for complex networking solutions (L2/L3, IP Fabric, EVPN/VXLAN)
- Validate 5G and data center architectures, including integration, scalability, and performance testing
- Build and maintain automation frameworks using Python and Golang
- Perform manual testing for new features, exploratory validation, and edge-case scenarios
- Develop end-to-end solution validation, including interoperability and system-level testing
- Automate regression, functional, and performance test suites
- Troubleshoot and debug issues across network, system, and application layers
- Collaborate with engineering, QA, and product teams to ensure high-quality releases
- Analyze logs, packet captures, and system behavior to identify root cause issues
- Support CI/CD pipelines and continuous testing strategy.

-

Required Skills

Technical

- Strong programming skills in:
- Python (must-have)
- Golang (preferred / strong plus)
- Solid understanding of:
- Data center networking (Leaf-Spine, IP Fabric, Clos architectures)
- Protocols: BGP, EVPN, VXLAN, TCP/IP
- Experience in 5G technologies (Core, RAN, or transport network validation)
- Hands-on experience with:
- Test automation frameworks
- Linux systems and scripting
- Proficiency in:
- Packet analysis tools (Wireshark, tcpdump)
- Debugging distributed systems and network issues.

## Preferred Qualifications

- Experience with CI/CD pipelines (Jenkins, GitLab CI, etc.)
- Exposure to cloud-native and container environments (Kubernetes, Docker)
- Knowledge of network virtualization and SDN
- Familiarity with test frameworks (pytest, Robot Framework, custom frameworks)
- Understanding of telecom standards and 5G architecture

## About Extreme Networks

## Company Overview
- **One-liner**: Extreme Networks is a publicly traded leader in AI-powered cloud networking, providing unified, secure, and simplified network solutions for enterprises.
- **Entity Type**: Public (NASDAQ: EXTR)
- **Headquarters**: Morrisville, North Carolina, United States
- **Founded**: 1996
- **Founders**: Stephen Haddock, Herb Schneider, Gordon Stitt

## Core Business
- **Primary industry**: Enterprise networking, cloud networking, and AI-driven network management.
- **Target customers**: B2B – mid-market to large enterprises, service providers, and public sector organizations globally.
- **Mission / purpose**: To push the boundaries of networking technology, making it simpler, faster, more agile, and secure – helping customers connect beyond the network and drive better outcomes.

## Products & Services
- **ExtremeCloud IQ**: Cloud-based network management platform with AI-driven analytics and automation (SaaS).
- **ExtremeXOS**: Modular network operating system for switches and routers.
- **ExtremeWireless**: Wi-Fi 6/6E/7 access points and controllers.
- **ExtremeSwitching**: Enterprise switches for campus, data center, and edge.
- **Extreme Fabric Connect**: Software-defined networking fabric for automated and secure connectivity.
- **ExtremeAnalytics**: Network analytics and visibility tools.
- **ExtremeRouting**: High-performance routers for WAN and edge.

## Market Standing
- **Valuation / Market Cap**: $1.9 billion (as of mid-2026)
- **Key Metric (Revenue)**: $1.3 billion annual revenue (FY2026); SaaS ARR of $244 million
- **Notable Investors / Partners**: Publicly traded with institutional investors; partners include major system integrators and channel resellers.
- **Growth Signals**: 4.0% YoY employee growth (2,300 people); over 3.3 million devices connected to the cloud; strong recurring revenue from SaaS; continued investment in AI and automation.

## Competitive Advantages
- **Unified, AI-driven platform** that combines networking, security, and analytics in a single cloud-native solution.
- **Over 25 years of enterprise networking expertise** with a large installed base and global support.
- **Strong focus on automation and self-driving networks** reduces operational complexity for IT teams.
- **Open architecture and integration** with major cloud providers and third-party ecosystems.

## Strategic Focus
- **AI and automation**: Embedding AI/ML across the portfolio to enable proactive, self-healing networks.
- **Cloud-first approach**: Driving adoption of ExtremeCloud IQ and expanding SaaS offerings.
- **Security convergence**: Integrating network security (e.g., micro-segmentation, zero-trust) directly into the networking stack.
- **Edge and wireless innovation**: Advancing Wi-Fi 7 and private 5G capabilities.

## Why Work Here
- **Culture**: Core values include Teamwork, Transparency, Candor, Curiosity, Ownership, and Inclusion. Multiple Employee Resource Groups (ERGs) foster an inclusive environment.
- **Work model**: Hybrid/remote-friendly offices in Morrisville (HQ), Salem (NH), Markham (Canada), and San Jose (CA) – roles vary by team.
- **Benefits**: Comprehensive compensation and benefits package supporting physical, emotional, and financial health.
- **Engineering culture**: Opportunity to build next-generation AI-driven, self-driving networks; work with big data, machine learning, and cloud technologies.
- **Early career programs**: Internships and development programs for university students and recent graduates.
- **Employer rating**: 3.9/5.0 on LinkedIn (1,184 reviews) with strong work-life balance (4.0) and culture (3.9).

## Sources
1. [LinkedIn Company Page](https://linkedin.com/company/extreme-networks)
2. [Extreme Networks Careers Page](https://www.extremenetworks.com/about-extreme-networks/career)
3. [Extreme Networks Company Page](https://www.extremenetworks.com/about-extreme-networks/company)
4. [Extreme Networks Investor Relations](https://investor.extremenetworks.com/overview/default.aspx)
5. [Extreme Networks Lever Careers](https://jobs.lever.co/extremenetworks)

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