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