Skip to content
Talento
Sign inGet started

Talento

Upload your CV, set your preferences, and find jobs that fit.

PrivacyTermsCookiesAccessibility

← All roles

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

at Parallelwireless

Bangalore, onsite, senior

posted 02 Nov 2026

Apply for this roleSign in to track your application
  • Kibana
  • RRC
  • PDCP
  • GTP-U
  • PCAP
  • RLC
  • S1AP
  • NGAP
  • PTP
  • SA
  • FAPI
  • Xn
  • Pytest
  • Agile
  • X2
  • Scrum
  • NSA
  • Python
  • PHY
  • IPsec
  • gdb
  • MAC
  • O-RAN
  • 5G
  • LTE

About the role

Posted: 2026-11-02

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

What you would 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 they are looking for

- 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

- 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.

Read from jobs.lever.co, last seen 1d ago.

- 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.