PRINCIPAL QA SW ENGINEER 10380- Layer2/Layer3 Protocol Testing- Python |Data Center Networking
Extreme Networks · Hybrid
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Job details
- Work model
- Hybrid
- Salary
- Not listed by source
Job description
Role Overview: Experience: 13-20 Years Role: PRINCIPAL QA SW ENGINEER We are seeking a highly skilled Solution Test Engineer to validate end-to-end solutions across modern data center and 5G networking environments. This role combines manual and automated testing, ensuring high-quality delivery of IP fabric-based solutions through robust validation frameworks developed in Python and Go (Golang). Key Responsibilities • Design, develop, and execute test plans and test cases for complex networking solutions (L2/L3, IP Fabric, EVPN/VXLAN) • Validate 5G and data center architectures, including integration, scalability, and performance testing • Build and maintain automation frameworks using Python and Golang • Perform manual testing for new features, exploratory validation, and edge-case scenarios • Develop end-to-end solution validation, including interoperability and system-level testing • Automate regression, functional, and performance test suites • Troubleshoot and debug issues across network, system, and application layers • Collaborate with engineering, QA, and product teams to ensure high-quality releases • Analyze logs, packet captures, and system behavior to identify root cause issues • Support CI/CD pipelines and continuous testing strategy. • Required Skills Technical • Strong programming skills in: • Python (must-have) • Golang (preferred / strong plus) • Solid understanding of: • Data center networking (Leaf-Spine, IP Fabric, Clos architectures) • Protocols: BGP, EVPN, VXLAN, TCP/IP • Experience in 5G technologies (Core, RAN, or transport network validation) • Hands-on experience with: • Test automation frameworks • Linux systems and scripting • Proficiency in: • Packet analysis tools (Wireshark, tcpdump) • Debugging distributed systems and network issues. Preferred Qualifications • Experience with CI/CD pipelines (Jenkins, GitLab CI, etc.) • Exposure to cloud-native and container environments (Kubernetes, Docker) • Knowledge of network virtualization and SDN • Familiarity with test frameworks (pytest, Robot Framework, custom frameworks) • Understanding of telecom standards and 5G architecture
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