Senior Engineer, Production Dev (QA Automation (AI & Root Cause Analysis)
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Before you apply
LocationBangalore
Work modeon-site
Typefull-time
SenioritySenior
Department399-Development, 348-RAT
Company size501–1,000 people
PostedNov 2, 2026 · 3d ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
Hands-on experience in Python/Pytest for tools/automation scripting
Proven debugging & RCA skills: coredumps/gdb, log/PCAP analysis, memory/crash triage, KPI/counter reasoning
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
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
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
Skills
Python
Pytest
Claude
AI tools
gdb
PCAP
Kibana
ORAN
IPsec
PTP/timing
Scrum
Agile
Senior Engineer, Production Dev (QA Automation (AI & Root Cause Analysis)
What you will do:
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Integration/System/E2E Featue Validation of PW products (LTE/NR/GSM)
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Use AI tools (Claude / AI-assisted engineering) to accelerate code understanding, log analysis, debugging, correlation and RCA — especially on multi-module problems.
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Identification of the scenarios, enhance the coverage to make the product robust & stabile
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Analysis of the issue/RCA on field and lab issues that span multiple modules, correlating evidence across the full stack:
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→ 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.
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Reproduce field/customer issues in the lab on production-like setups.
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Field-issue investigation with direct customer / field involvement; feed learnings back into design, regression and stability.
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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
Nice to have
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.