Full 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.