|
Energetic Test engineer who understand the residential gateway operating system in E2E view and provide the contribution for feature quality and make sure the product stability. * Develop and maintain automation scripts for regression, feature, and performance testing across networking platforms. * Enhance and optimize test coverage by working with automation frameworks such as Robot Framework, Python, and PyTest. * Maintain and manage multiple regression batches to ensure continuous and reliable test execution. * Contribute to feature testing of RG functionality and protocols, validating endtoend service behaviour across networking devices. * Perform detailed debugging using network tools such as Wireshark, packet capture, and log analysis to identify root causes across device and network layers. * Collaborate crossfunctionally with engineering teams to ensure highquality software delivery and alignment with telecom standards. * Graduate or Master's degree in Engineering with 6-10 years of experience in testing and analysing highperformance switching and routing software. * Strong knowledge of networking protocols, including GPON / XGSPON and various remote management protocols. * Handson experience in testing routers, gateways, or access points (APs) in largescale networking setups. * Proficiency in automation scripting, with Python strongly preferred. * Experience working with test frameworks such as Robot Framework and PyTest. * Strong understanding of networking technologies including TCP/IP, DHCP, DNS, NAT, VPN, MCAST, IPv6, and TR-069. * Experience with Linux/Unix systems for debugging, analysis, and troubleshooting. * Good analytical skills for identifying issues across device, software, and network layers. * Strong communication and documentation abilities suitable for crossteam collaboration. * Familiarity with telecom standards and the typical network product development lifecycle. It would be nice if you also had: * Experience with network debugging tools such as Wireshark, iPerf, packet captures, and log analysis frameworks. * Exposure to performance testing environments or largescale system test environments. * Knowledge of AIbased tools for enhancing automation and improving test efficiency.
|