Technical Lead - QA Automation and Root Cause Analysis in Telecom

PARALLEL WIRELESS INDIA PRIVATE LIMITED; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

PARALLEL WIRELESS INDIA PRIVATE LIMITED is seeking a Technical Lead, Production Dev (QA Automation with AI and Root Cause Analysis) to validate integration, system and end-to-end features for PW's wireless products (LTE/NR/GSMA).

The role emphasizes Python/Pytest automation, advanced debugging (GDB, log analysis, KPI reasoning) and using AI-assisted tools to accelerate root cause identification across multi-module stacks in lab and field environments.

Qualifications

• Bachelor’s or Master's in Electronics/CS with relevant experience.
• 5+ years in wireless/telecom systems and production-grade QA.
• Proficient Python/Pytest for automation and tooling.
• Strong debugging and RCA skills: core dumps, memory, logs.
• Ability to reason across UE, RAN, Core/EMS platforms.
• Willingness to work with AI tools daily.

Responsibilities

• Validate integration, system, and end-to-end features for PW products.
• Analyze field and lab issues across multiple modules with logs.
• Reproduce field issues in lab and drive AI-assisted acceleration.
• Collaborate with customers on field deployments.
• Automate end-to-end workflows and improve coverage.

Skills

Wireless/telecom systems

Python/Pytest

Debugging/RCA

System-level thinking

AI tooling familiarity

Education

Bachelor’s in Electronics/CS

Master’s in Electronics/CS

Tools

GDB

PCAP analysis

Kibana

Log analysis tools

Job description

Technical Lead, 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.

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 - 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.

Experience Level Senior Level