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Technical Lead, Production Dev (QA Automation (AI & Root Cause Analysis)
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Est. INR 0|Onsite |Senior Level|Full Time
Posted: 3 days ago
Skills
AI toolsPython/PytestdebuggingRCAwireless/telecom system understandinglog analysissystem mindsetAI tools as a daily engineering accelerator
Company Location
Bengaluru, Karnataka, India
Remote Work Policy
Onsite
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
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.
