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STAFF QA SW ENGINEER- Layer 2/Layer 3 Protocol Testing- Python Automation

Hiring from
India
Work type
Hybrid
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Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.


Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.


Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.


Job Description


What you will do (Job Specific Details on the nature of the job and responsibilities).


Key Responsibilities


Experience: 8-13 Years


• BS or MS in EE/CS with 8+ years of hands-on experience in functional, system test, and automation, including a track record of technical leadership.

• Expert technical knowledge of data center networking — IP Fabric, VxLAN EVPN, and network virtualization frameworks.

• Expert knowledge of Ethernet, optics, and networking hardware.

• Expert knowledge of network security and routing protocols (OSPF, IS-IS, BGP, Multicast).

• Proven experience architecting large-scale system test topologies and automation frameworks using Python or Golang.

• Demonstrated leadership in introducing AI/ML or GenAI into QA — building or adopting AI-assisted testing, triage, or analytics capabilities at team or org scale.

• Deep experience in performance, scale, and convergence testing and in analyzing and improving system-level performance.

• Ability to author and publish solution validation documents, reference architectures, and test reports.

• Excellent communication skills and the ability to influence at all levels of the organization.

• Highly motivated, self-driven, and able to lead cross-functionally toward challenging goals.


Skills Required:

Deep expertise and demonstrated leadership across most of the following areas:

Networking

• IEEE 802.1 (Bridging, VLAN, STP, MAC security, LLDP, AVB) and advanced L2/L3 (TCP/IP, VRRP, IGMP, IPv4/IPv6, ICMP/ICMPv6, ARP, IS-IS, BGP, Multicast).

• Data center fabric design, network virtualization (VMware NSX, OpenStack), and network security architecture.

• Traffic generators (Ixia/Spirent) and advanced debugging (Wireshark, packet analysis).

Test Automation

• Architecting automation frameworks in Python/Golang and defining CI/CD strategy (Jenkins/GitLab).

• Automation for end-to-end solution validation, integrated for seamless, continuous testing.

• Docker containerization, clustering, and cloud environments (AWS, Azure, GCP).

AI in the Test Cycle

• Strategy and rollout of AI-assisted test-case generation, intelligent test selection and prioritization, and self-healing automation.

• AI/ML-based log analysis, automated failure triage, anomaly detection, and predictive coverage/quality analytics.

• Responsible-AI practices and governance for applying GenAI tooling within QA workflows


Job Description Summary


The Staff QA Engineer is a senior technical leader who sets the quality and validation strategy for complex Extreme Networks products and solutions. Acting as a force multiplier across teams, this role defines test architecture and automation frameworks, drives the adoption of AI across the test cycle, and mentors engineers — while remaining hands-on with the hardest technical problems in data center networking, routing, and security validation

Qualifications


Basic Requirements and Preferred Qualifications for the job.


BTech

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.


We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human oversight. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed —or to exercise any applicable privacy rights—please contact us at privacyinquiries@extremenetworks.com.


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