Listing note. Listings come from public job feeds and can change or expire—check the original source and eligibility requirements before applying.

All listings

Technology

Senior Engineer, Production Dev (QA Automation (AI & Root Cause Analysis)

Parallel Wireless

Lever
Location
Bangalore, Not specified
Type
Full Time
Salary
Salary not specified
Posted
2 Nov 2026
Senior Engineer, 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 scrip
Senior Engineer, 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.