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

Extreme Networks, Inc; Bengaluru; Hybrid; INR 3,800,000 - 6,000,000; Full time

Job summary

Extreme Networks is seeking a Staff QA SW Engineer focused on Layer 2/Layer 3 protocol testing with Python automation. Hybrid role based in Bangalore, India.

You will lead test architecture, automation, and AI-driven QA initiatives for data center networking, ensuring performance, scale, and security validation across complex topologies. The role requires 8–13 years of hands-on experience in networking, test automation, and leadership, with expertise in IP fabric, VXLAN EVPN, OSPF/IS-IS/BGP, and

Qualifications

• Hands-on experience in functional, system test and automation.
• Experience architecting large-scale test topologies and automation frameworks.
• Proven leadership in introducing AI/ML or GenAI into QA workflows.

Responsibilities

• Lead quality and validation strategy for Extreme Networks products.
• Define test architecture and automation frameworks across teams.
• Drive AI adoption in the test cycle and mentor engineers.
• Collaborate cross-functionally to meet challenging goals.
• Publish solution validation documents and test reports.

Skills

Networking

Test Automation

AI in QA

Python

Golang

CI/CD

Docker

AWS

Azure

GCP

Wireshark

VMware NSX

Education

BTech

Tools

Ixia/Spirent

Wireshark

VMware NSX

Jenkins

GitLab

Docker

OpenStack

Kubernetes

Job description

## STAFF QA SW ENGINEER- Layer 2/Layer 3 Protocol Testing- Python AutomationApply: Hybrid: Bangalore, India: Full time: Posted Today: JR100079Over 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 [e-mail].