Feeny
Extreme Networks

QA Software Engineer 10350 – L2/L3 Networking | Python Automation | VxLAN EVPN at Extreme Networks (Bengaluru, India)

Extreme Networks· Bengaluru, India·

Role details

Work type
Hybrid
Employment
Full-Time

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

Why work at Extreme Networks

  • 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).

Application questions