Solution Test Engineer 10383 - Layer2/Layer3 Protocol Testing- Python-Golang

Extreme Networks

Bengaluru, INhybridPosted Jul 23, 2026
Posting intelligenceActively listed

Skills

kubernetesregressionjenkinsgodockergitlabpythonpytestcicd

About the role

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.

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