PRINCIPAL QA SW ENGINEER 10380- Layer2/Layer3 Protocol Testing- Python |Data Center Networking

Extreme Networks; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Extreme Networks in Bengaluru seeks a Principal QA SW Engineer to validate end-to-end solutions across data center and 5G environments. You will blend manual and automated testing, building robust Python and Golang frameworks to ensure IP fabric-based solutions meet quality standards.

Role emphasizes integration testing, performance assessment, and end-to-end validation across network, system, and application layers, with CI/CD support and cross-functional collaboration for high-quality releases.

Qualifications

• Strong programming skills in Python (must-have) and Golang (preferred).
• Solid understanding of data center networking (Leaf-Spine, IP Fabric, Clos).
• Experience with 5G technologies (Core, RAN, or transport validation).
• Hands-on with test automation frameworks and Linux scripting.
• Proficiency in packet analysis tools (Wireshark, tcpdump) and debugging.

Responsibilities

• Design, develop, and execute test plans for complex networking solutions.
• Validate 5G and data center architectures, including performance testing.
• Build and maintain automation frameworks using Python and Golang.
• Perform manual testing for new features and edge-case scenarios.
• Develop end-to-end solution validation including interoperability.
• Automate regression, functional, and performance test suites.
• Troubleshoot issues across network, system, and application layers.
• Collaborate with engineering, QA and product teams for releases.
• Analyze logs and captures to identify root causes.
• Support CI/CD pipelines and continuous testing strategy.

Skills

Python

Golang

Data center networking

5G validation

Test automation

Linux scripting

Packet analysis

Debug distributed systems

Tools

CI/CD pipelines

Kubernetes

Docker

pytest

Robot Framework

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.