Senior Software Engineer

Job Description
Key Responsibilities:
5G Core Network Testing:
Strong Hands-on knowledge of 3G/4G Signalling and Userplane flows.
Conduct functional, performance, and regression testing for 5G Core Network elements such as AMF, SMF, UPF, AUSF, NRF, UDM, PCF, NSSF, and NWDAF.
Validate 3GPP compliance for protocols including HTTP/2, PFCP, SCTP, NGAP, and N2/N3 interfaces.
Automation and Test Frameworks:
Develop, execute, and maintain automated test scripts using tools like Robot Framework, Selenium, or custom Python/Go-based solutions.
Collaborate with the DevOps team to integrate automated test suites into CI/CD pipelines.
Test Lab Setup and Maintenance:
Set up and configure 5G Core test environments, including simulators, real-time network elements, and protocol analyzers.
Manage lab resources, including test servers, virtual machines, Kubernetes clusters, and network traffic generators.
Performance and Load Testing:
Utilize tools like Spirent, IXIA, or Keysight for performance testing and load generation.
Analyze and troubleshoot issues related to scalability, throughput, latency, and resilience.
Defect Management and Reporting:
Identify, document, and track defects using tools like JIRA.
Provide comprehensive test reports and metrics to stakeholders.
Collaboration and Standards:
Work closely with development, operations, and QA teams to ensure alignment on testing requirements.
Stay updated with 3GPP specifications, testing standards, and industry trends.
Required Skills and Qualifications:
Bachelor s or Master s degree in Computer Science, Telecommunications, or a related field.
Experience:
3-5 years in testing and validating telecom networks, preferably 5G Core or LTE EPC.
Technical Expertise:
Strong understanding of 3GPP specifications, especially TS 23.501, TS 23.502, TS 23.503, and TS 29.xxx series.
Hands-on experience with protocol testing tools such as Wireshark, DS Tester, or TShark.
Proficiency in scripting languages (Python, Bash) and/or programming (Golang).
Tools and Platforms:
Experience with Kubernetes, Docker, and cloud platforms (AWS, Azure, or GCP).
Familiarity with Grafana, Prometheus, or other monitoring tools.
Soft Skills:
Strong analytical and troubleshooting skills.
Effective communication and documentation skills.