
Technical Lead, Production Dev (QA Automation (AI & Root Cause Analysis)
Parallel Wireless · Bangalore · Onsite
Mixed hiring record · median 53 days open
All reasons
- 33% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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.
Skills
- Python
- pytest
- Kibana
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