RAN 5G Testing Professional @ SRM Technologies

Job Title: Senior 5G Network level Engineer (E2E RAN experience )

Location: Bangalore Experience : 5-10 years Domain : 5G RAN / Small Cells / Protocol Stack

Role Summary

We are looking for a technically superior 5G Engineer who bridges the gap between standardization theory and practical network implementation . You will not just execute tests; you will validate the 5G Small Cell system against strict 3GPP Release 15 /16/ 17 specifications and IETF RFCs. You will be responsible for E2E system testing on real network elements, using your deep knowledge of the protocol stack and AI-driven automation to debug complex Call Processing and Interoperability issues.

Core Technical Competencies (The "Must-Haves")

1. Good 3GPP & Protocol Knowledge:

• Spec Literacy: Ability to read, interpret, and debug against specific 3GPP Technical Specifications, specifically:
  
• TS 38. 331 (RRC): Deep knowledge of SIBs, RRC Setup, Reconfiguration, and Measurement Reports.
  
• TS 38. 413 (NGAP) & TS 38. 423 (XnAP): Handling Core Network signaling and Inter-gNB communications.
  
• TS 24. 501 (NAS): Understanding Registration, PDU Session Establishment, and Service Requests.
  
• IETF RFCs: Understanding of Transport and Security protocols for SeGW integration, including IKEv2, IPsec (ESP/AH), and SCTP .

2. RAN Feature Expertise:

• Complex Call Processing: Proven expertise in debugging the full lifecycle of ENDC (NSA) and SA Option 2 flows.
  
• Mobility Algorithms: Technical understanding of Event A3/ A4/ A5 triggers, Handover Command/Complete flows, and failure scenarios (Radio Link Failure, HO ping-pong).
  
• Advanced Features: Setup and debugging of CBRS (SAS/Domain Proxy interactions) , VoNR, EPS Fallback, and PTP (1588v2) synchronization.

Key Responsibilities

Standards-Based Validation:

• Execute E2E test plans on real gNB and Femto Gateway hardware , ensuring every signaling message complies with defined standards.
  
• Analyze protocol traces (L2/L3) to identify deviations from 3GPP specs during feature integration.
  

Root Cause Analysis (RCA):

• Use QXDM, Wireshark, and QCAT to dissect logs at the bit-level (ASN.1 decoding).
  
• Debug intricate issues such as Throughput drops (RLC/MAC layer analysis), S1/NG setup failures, and Security Gateway tunnel establishment issues.
  

Automation & AI-Assisted Engineering:

• Python/Robot Framework: Write scripts to automate complex protocol flows (not just UI automation).
  
• AI Integration: Leverage AI tools (LLMs) to parse large PCAP files, generate regex for log mining, and summarize complex failure signatures from regression data.
  

Network Element Configuration:

• Full ownership of Lab setup including cOAM configuration , Certificate Management for SeGW, and Core Network (5GC/EPC) simulator tuning.

Tools & Technologies

• Protocol Analyzers: Wireshark (Advanced filters/Lua scripting), QXDM, QCAT, XCAL/XCAP.
  
• Scripting: Python (Pandas for log analysis, Scapy for packet manipulation), Shell scripting.
  
• Standards: 3GPP Rel 15/ 16, IETF RFCs (IPsec/Networking).