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Extreme Networks

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

Posted 21 Days Ago
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Hybrid
Bangalore, Bengaluru Urban, Karnataka, IND
Mid level
Hybrid
Bangalore, Bengaluru Urban, Karnataka, IND
Mid level
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.
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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

Extreme Networks Bengaluru, Karnataka, IND Office

Bengaluru, India

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