Role & seniority
- Senior/Staff-level Network/System Test Automation Engineer (8–13+ years), technical leadership required
Stack/tools
- Programming: Python, Golang
- CI/CD & automation: Jenkins, GitLab
- Containers/cloud: Docker, AWS/Azure/GCP; clustering
- Networking/traffic tools: Ixia/Spirent, Wireshark
- Network virtualization/security: VMware NSX, OpenStack; network security frameworks
- AI in QA: AI-assisted test generation, log analysis, failure triage, anomaly detection; responsible-AI/GenAI governance
Top 3 responsibilities
- Architect and lead large-scale system test topologies and automation frameworks for continuous end-to-end solution validation
- Perform data center networking validation and troubleshooting across L2/L3/overlay technologies (e.g., VXLAN EVPN, IP fabric)
- Drive performance, scale, convergence testing and improve system-level performance; publish validation/reference/test documents
Must-have skills
- Expert data center networking: IP Fabric, VXLAN EVPN, network virtualization frameworks
- Deep Ethernet/optics and networking hardware knowledge
- Expert routing/security/multicast: OSPF, IS-IS, BGP, Multicast; plus advanced L2 (802.1, VLAN/STP, MAC security, LLDP, AVB)
- Strong test automation architecture in Python/Golang integrated with CI/CD
- Evidence of technical leadership and cross-functional influence
**Nice-to-hav

Full Description

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

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.
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