{"id":3153963,"url":"https://alion.io/job/parallel-wireless-technical-lead-production-dev-qa-automation-ai-root-cause-analysis","title":"Technical Lead, Production Dev (QA Automation (AI & Root Cause Analysis)","company":{"id":4814,"name":"Parallel Wireless","domain":"parallelwireless.com","url":"https://alion.io/company/parallel-wireless","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":16,"ghost_share":0,"stale_share":0.75,"repost_share":0.063,"time_to_fill_p50_days":50,"computed_at":"2026-10-28T05:59:10Z"}},"role":"QA","role_family":"QA","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Agile","optional":true},{"name":"Kibana","optional":true}],"status":"live","first_seen_at":"2026-10-23T07:28:50Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-28T12:01:47Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"What you will do\nIntegration/System/E2E Featue Validation of PW products (LTE/NR/GSM)\nUse AI tools (Claude / AI-assisted engineering) to accelerate code understanding, log analysis, debugging, correlation and RCA - especially on multi-module problems.\nIdentification of the scenarios, enhance the coverage to make the product robust & stabile\nAnalysis 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.\n\nReproduce field/customer issues in the lab on production-like setups.\nField-issue investigation with direct customer / field involvement; feed learnings back into design, regression and stability.\nAutomation of the E2E features\nWhat we are looking for\nMust-have\nSolid 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.\nHandson experience in Python/Pytest for tools/automation scripting \nProven debugging & RCA skills: coredumps/gdb, log/PCAP analysis, memory/crash triage, KPI/counter reasoning.\nA system mindset - 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