Telecom QA Engineer

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 modern 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 environments
• 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
• Strong 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