About the Role

We are looking for an AI-driven QA Engineer with experience in the 5G/4G Core domain who can leverage automation, intelligent testing, and data-driven analysis to improve product quality and network reliability. The ideal candidate should have strong Linux and networking fundamentals, hands-on experience with telecom core technologies, and an interest in using AI-assisted tools for testing, troubleshooting, and automation.

You will work closely with development, DevOps, and product teams to validate complex telecom workflows, automate testing processes, and enhance testing efficiency using contemporary AI-enabled approaches.

Key Responsibilities
Test and validate 5G/4G Core network features, interfaces, and call flows
Design intelligent test strategies for functional, regression, integration, and performance testing
Use AI-assisted debugging and log analysis techniques to identify defects and root causes
Analyze network traces, logs, KPIs, and packet captures for issue diagnosis
Build and maintain automated test frameworks using Shell/Bash and Python
Collaborate with developers to validate fixes and improve product stability
Support cloud-native and containerized telecom deployments




Create automated reporting dashboards and maintain detailed test documentation
Explore AI/ML-based approaches for predictive testing, anomaly detection, and test optimization

Required Skills
Strong fundamentals in Linux and command-line settings
Good understanding of TCP/IP, routing, switching, DNS, and networking protocols
Practical experience working with 5G or 4G Core Network technologies
Ability to analyze logs, traces, KPIs, and troubleshoot network issues
Hands-on experience with Shell/Bash scripting and basic Python automation
Familiarity with tools such as Wireshark, tcpdump, or similar packet analysis tools
Understanding of AI-assisted testing tools, automation workflows, or intelligent monitoring platforms
Robust analytical and problem-solving skills

Good to Have
Experience with Kubernetes and Docker
Exposure to CI/CD pipelines and DevOps practices
Knowledge of cloud-native telecom architecture
Experience with AI-based test automation platforms or scripting assistants
Familiarity with monitoring and observability tools like Prometheus or Grafana
Understanding of telecom protocols such as SIP, Diameter, GTP, SCTP, or HTTP/2

📌 Qa Engineer 5g/4g Kolkata
🏢 Hiring Squad
📍 Kolkata