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

Parallel Wireless; Bengaluru; Vor Ort; INR 1.200.000 - 2.400.000; Vollzeit

Zusammenfassung

Parallel Wireless in Bengaluru, India, seeks engineers with solid wireless/telecom expertise and hands-on Python/Pytest for automation. You will perform end-to-end validation of LTE/NR/GSM products, use AI-assisted tooling to speed up debugging and RCA, and expand coverage through scenario identification and multi-module analysis.

You will analyze field and lab issues across logs and traces, reproduce field problems in lab setups, and drive automated E2E features.

Qualifikationen

• 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)
• 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
• A system mindset across UE RAN Core Platform EMS rather than a single layer
• Willingness to work with AI tools as a daily engineering accelerator

Aufgaben

• Integration/System/End-to-End Feature Validation of PW products (LTE/NR/GSM)
• Use AI tools (Claude / AI-assisted engineering) to accelerate code understanding, log analysis, debugging, correlation and RCA
• Identification of scenarios, enhance coverage to make the product robust & stable
• Analysis of field and lab issues spanning multiple modules; correlate evidence across the full stack
• Reproduce field/customer issues in lab on production-like setups
• Field-issue investigation with direct customer involvement; feed learnings back into design and regression
• Automation of the E2E features

Kenntnisse

Wireless/telecom knowledge

Python

Pytest

Debugging & RCA

AI tooling familiarity

Ausbildung

Bachelor’s or Master’s in Electronics/Communication/CS

Tools

GDB

PCAP analysis

Kibana

Jobbeschreibung

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.