Technical Lead, Production Dev (QA Automation (AI & Root Cause Analysis)

What you will do: Integration/System/E2E Featue Validation of PW products (LTE/NR/GSM) Use AI tools (Claude / AI-assisted engineering) to accelerate code understanding, log analysis, debugging, correlation and RCA — especially on multi-module problems. Identification of the scenarios, enhance the coverage to make the product robust & stabile Analysis of the issue/RCA on field and lab issues that span multiple modules, correlating evidence across the full stack: → UE logs · PHY logs · DU / MAC / SCH logs · CU / L3 logs · Core logs · Platform logs · RRH logs · System logs · field issues across EMS / system monitoring. Reproduce field/customer issues in the lab on production-like setups. Field-issue investigation with direct customer / field involvement; feed learnings back into design, regression and stability. Automation of the E2E features

What we are looking for: Must-have Solid wireless/telecom system understanding across 2G / 4G LTE / 5G NSA / SA — RRC, S1AP/NGAP, X2/Xn, PDCP/RLC/MAC scheduling, PHY/FAPI, GTP-U, and the core/platform interfaces. Handson experience in Python/Pytest for tools/automation scripting Proven debugging & RCA skills: coredumps/gdb, log/PCAP analysis, memory/crash triage, KPI/counter reasoning. A system mindset — comfortable reasoning across UE ↔ RAN ↔ Core ↔ Platform ↔ EMS rather than a single layer. Willingness and aptitude to work with AI tools as a daily engineering accelerator Good to have O-RAN / disaggregated CU-DU, fronthaul (split 7.2), PTP/timing, IPsec/transport exposure. Experience with EMS / OSS, Kibana/KPI monitoring, PM counters. Prior field / customer-facing deployment or NPI experience. Scrum / Agile delivery experience Networking knowledge is an added advantage

Academic Qualification (Education): Bachelor’s (B.E/ B.Tech ) or Master’s degree (M.E. or M.Tech .) in Electronics/Communication/Computer Science Engineering or equivalent training, education and experience.