STAFF QA SW ENGINEER 10349 – Data Center Networking | Python Automation|Layer2/Layer3

Extreme Networks · Chennai, Tamil Nadu, India

Software Development · 1,001-5,000 employees

19 h ago

Principal (10+ yrs) Full-time India

About the role

The role involves architecting large-scale system test topologies and automation frameworks while leading the integration of AI/ML capabilities into QA workflows. You will be responsible for defining test strategies, mentoring team members, and ensuring high-quality standards across the product life cycle.

What they look for

Python Golang Data Center Networking VxLAN EVPN Network Security Routing Protocols Automation Frameworks CI/CD Docker Cloud Environments AI/ML GenAI Performance Testing System Architecture Traffic Generators Packet Analysis

Requirements

Candidates must possess 8-13+ years of experience in functional and system testing with deep expertise in data center networking and routing protocols. A bachelor or master degree in EE/CS is required, along with proven leadership in automation and performance testing.

Full description

Job Description:

Qualifications and Requirements

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.

Skillset 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.

Leadership & Methodology

Test strategy ownership, mentoring, and setting engineering standards.
Deep knowledge of testing methodologies, testing types, and the full product life cycle.