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

Overview

Staff QA Software Engineer who sets the quality and validation strategy for complex Extreme Networks data center networking products and solutions, acting as a force multiplier across teams while remaining hands-on with the hardest technical problems in networking, routing and security validation.

What you'll do

• Set the quality and validation strategy for complex Extreme Networks products and solutions.
• Define test architecture and automation frameworks.
• Drive the adoption of AI across the test cycle.
• Mentor engineers.
• Remain hands-on with the hardest technical problems in data center networking, routing and security validation.

What you'll need

• 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, including 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.
• Deep expertise and demonstrated leadership across most of the following areas: 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).
• Deep expertise and demonstrated leadership across most of the following areas: Data center fabric design, network virtualization (VMware NSX, OpenStack), and network security architecture.
• Deep expertise and demonstrated leadership across most of the following areas: Traffic generators (Ixia/Spirent) and advanced debugging (Wireshark, packet analysis).
• Deep expertise and demonstrated leadership across most of the following areas: Architecting automation frameworks in Python/Golang and defining CI/CD strategy (Jenkins/GitLab).
• Deep expertise and demonstrated leadership across most of the following areas: Automation for end-to-end solution validation, integrated for seamless, continuous testing.
• Deep expertise and demonstrated leadership across most of the following areas: Docker containerization, clustering, and cloud environments (AWS, Azure, GCP).
• Deep expertise and demonstrated leadership across most of the following areas: Strategy and rollout of AI-assisted test-case generation, intelligent test selection and prioritization, and self-healing automation.
• Deep expertise and demonstrated leadership across most of the following areas: AI/ML-based log analysis, automated failure triage, anomaly detection, and predictive coverage/quality analytics.
• Deep expertise and demonstrated leadership across most of the following areas: Responsible-AI practices and governance for applying GenAI tooling within QA workflows.
• BTech.

Details

• Location: Bangalore, India.
• Experience: 8-13 years.