QA Software Engineer 10350 – L2/L3 Networking | Python Automation | VxLAN EVPN

Posted 7 Hours Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
Hybrid
Mid level
Software
The Role
QA Software Engineer responsible for functional and system testing of data center networking (L2/L3, VxLAN EVPN). Develop test automation (Python/Golang), plan tests, map requirements to test cases, log/track defects, debug networking issues, and apply AI-assisted tools to augment QA workflows.
Summary Generated by Built In

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

Skills Required

  • BS or MS in EE/CS with 2-5 years hands-on functional, system test, and automation experience
  • Solid technical knowledge of data center networking including IP Fabric and VxLAN EVPN
  • 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/tracking, and debugging
  • Familiarity with test scripting, automation frameworks, and CI/CD (Jenkins, GitLab)
  • Version control experience (Git)
  • Experience with defect/test management tools (JIRA, qTest)
  • Knowledge of IEEE 802.1 (Bridging, VLAN, STP, MAC security, LLDP) and L2/L3 features (TCP/IP, VRRP, IGMP, IPv4/IPv6, ICMP/ICMPv6, ARP)
  • Familiarity with network debugging tools (Wireshark, ping, traceroute) and traffic generators (Ixia, Spirent)
  • Exposure to AI/ML concepts or AI-assisted developer/testing tools (LLM-based assistants, GenAI copilots) applied to QA workflows
  • Understanding of prompt basics and interest in AI-based log analysis, failure triage, and test-coverage gap detection
  • Strong verbal and written communication and ability to collaborate cross-functionally
  • Exposure to Docker containerization and cloud environments (AWS, Azure, GCP)
  • Highly motivated, self-driven, and eager to learn

Extreme Networks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Extreme Networks and has not been reviewed or approved by Extreme Networks.

  • Flexible Benefits Flexible work options and time‑off policies are emphasized through a 'Flex First' model with remote/hybrid choices and flexible or unlimited PTO. Wellness programs, volunteer time, and family leave round out a broad, adaptable package.
  • Healthcare Strength Healthcare coverage is positioned as comprehensive, including medical, dental, vision, mental health, and HSA eligibility. U.S. high‑deductible plans include a company HSA contribution, strengthening the financial value of coverage.
  • Equity Value & Accessibility Equity participation is accessible via RSUs and an ESPP that enables discounted stock purchases. Variable pay and equity components can materially lift total compensation when business performance is strong.

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The Company
HQ: Morrisville, North Carolina
3,661 Employees
Year Founded: 1996

What We Do

Extreme Networks, Inc. (EXTR) is a leader in cloud networking focused on delivering services that connect devices, applications, and people in new ways. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. 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. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

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