---
title: 'QA Software Engineer 10350 – L2/L3 Networking | Python Automation | VxLAN EVPN at Extreme Networks'
canonical: 'https://feeny.ai/job/qa-software-engineer-10350-l2-l3-networking-python-automation-vxlan-evpn-ndnndvy49785'
type: 'job'
last_seen: '2026-09-08'
---

# QA Software Engineer 10350 – L2/L3 Networking | Python Automation | VxLAN EVPN at Extreme Networks

- **Company:** Extreme Networks
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/extremenetworks/031e24bc-39af-4609-9657-be46b7dcdd92

## Job description

Qualifications and Requirements:

Experience: 2-5 Years

- BS or MS in EE/CS with 2 to 5 years of hands-on experience in functional, system test, and automation.
- Solid technical knowledge of data center networking — IP Fabric, VxLAN EVPN, and network virtualization concepts.
- Working knowledge of Ethernet, optics, and networking hardware.
- Knowledge of routing protocols (OSPF, IS-IS, BGP, Multicast) and network security fundamentals.
- Hands-on experience developing test automation using Python or Golang.
- Experience with test planning, requirement-to-testcase mapping, defect logging and tracking, and debugging.
- Exposure to AI/ML concepts or AI-assisted developer/testing tools (e.g., LLM-based assistants, GenAI copilots) applied to QA workflows.
- Strong verbal and written communication skills and the ability to collaborate cross-functionally.
- Highly motivated, self-driven, and eager to learn.

Skillset Required Good knowledge and hands-on experience across most of the following areas: Networking

- IEEE 802.1 (Bridging, VLAN, STP, MAC security, LLDP).
- L2/L3 features (TCP/IP, VRRP, IGMP, IPv4/IPv6, ICMP/ICMPv6, ARP); basic IS-IS/BGP.
- Network debugging tools (Wireshark, ping, traceroute) and traffic generators (Ixia/Spirent).

Test Automation

- Test scripting in Python or Golang; familiarity with automation frameworks and CI/CD (Jenkins/GitLab).
- Version control (Git) and defect/test management tools (JIRA, qTest).
- Exposure to Docker containerization and cloud environments (AWS, Azure, GCP) is a plus.

AI in the Test Cycle

- Familiarity with using AI assistants to generate/augment test cases and test data.
- Interest in AI-based log analysis, failure triage, and test-coverage gap detection.
- Understanding of prompt basics for applying GenAI tools responsibly within QA workflows.

Methodology Knowledge of testing methodologies, testing types, and the overall product life cycle

## 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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