Staff QA Engineer 10348 – Data Center Networking | Python Automation|Layer2/Layer3
Core
Architect large-scale system test topologies and automation frameworks for data center networking products, integrating AI/ML for intelligent testing and analytics.
Role type
Staff QA Engineer (Data Center Networking & AI/ML)
Builds
Production-grade network validation frameworks, AI-assisted testing capabilities, and reference architectures for data center fabrics.
Domain
Data Center Networking, Network Virtualization, AI/ML in Quality Assurance
Deliverable
production ML models | product features
Required skills
Data center networking (VxLAN EVPN, OSPF, BGP, IS-IS), Python/Golang automation, AI/ML for test generation and log analysis, network security architecture, performance testing, CI/CD strategy, Docker containerization, cloud environments (AWS/Azure/GCP), IEEE 802.1 standards, traffic generation tools (Ixia/Spirent), packet analysis (Wireshark)
Preferred skills
Experience with VMware NSX, OpenStack, GenAI tooling governance, mentoring cross-functional teams
Technologies
Python, Golang, Jenkins, GitLab, Docker, AWS, Azure, GCP, Wireshark, Ixia, Spirent, VMware NSX, OpenStack
Responsibilities
Architect and lead the design of large-scale system test topologies and automation frameworks; Integrate AI/ML and GenAI into QA workflows for test case generation, failure triage, and predictive analytics; Author solution validation documents, reference architectures, and test reports; Mentor engineers and set testing standards across the organization.
Seniority
Staff, strategic architecture & technical leadership