Position: E2E QA Engineer

Location: Bengaluru, Karnataka, India

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Position Overview:

• The E2E QA Engineer will provide Engineering experience to the E2E QA Engineering team for 4G and 5G E2E solutions including RAN & core Nodes of 4G/5G system.
• Will be working independently of 5G/4G E2E testing & regression scenarios as well.
• Develop, execute, and maintain comprehensive tests to validate new Hardware/FW & changes coming in release and identify product defects.
• Generate comprehensive test reports for internal and external consumption.
• Participate in agile scrum to inject quality into the entire E2E release product lines.
• Report, track, and manage any discovered defects to resolution.

Minimum Requirements:

• 2 to 5 years of experience in system, functional and performance testing for 5G/4G RAN or E2E testing. have a good understanding on 5G-SA/5G-NSA(FR1/FR2)/4G/4G-A technologies. good knowledge on 3GPP specification (36 / 38 series) until Release 16.
• Going through 3GPP standards, architecture, and design documents to come up with thorough and in-depth test plans for testing 5G NR functionalities.
• Ability to build simple/complex test setups as per the requirements of the test cases
• Creating test plans on 5G NR features by following 3GPP and ORAN standards
• Executing test cases and validating the test status based on the expectations for the test case.
• Ability to fully understand system logs, test tool logs and use this understanding for debugging issues and identifying accurate root causes for the problems seen on the system under test or in the network
• Debugging field log/data and identifying potential problems and re-creating the same in the lab
• Hands-on working experience with protocol layers like NAS, RRC, PDCP, RLC, MAC, PHY, should be able to debug issues independently.
• Experience with UE simulators like TM500, Prisma, Amarisoft, Simnovus.
• In-depth testing of 5G/4G and finding defects in house.
• hand on experience in Linux/cloud (Kubernetes) environments.
• Bachelor’s Degree in Computer Science, Information Technologies, Computer Engineering, Telecommunications, or other applicable field and 3 years of work experience

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Additional Experience And Knowledge a Plus:

• Experience in Channel Emulators like Keysight PropSim , Azimuth.
• Experience on Kubernetes and containerised environment.
• Experience in automation using python, robot framework.
• Experience on REL 17 will add advantage.

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