Solution Test Engineer

Join our Team
About the Opportunity:
At Ericsson, we're shaping the future of connectivity through cutting-edge 5G and cloud-native technologies. We're looking for a Solution Test Engineer to lead end-to-end testing, system integration, automation, and validation of Ericsson Private 5G solutions ( BEWS - Private Networks). In this role, you'll work across 5G Core, RAN, Kubernetes, and cloud-native platforms, drive quality through automation and CI/CD, troubleshoot complex network issues, and collaborate with global teams to deliver world-class telecom solutions.
What You Will Do
Test Design & Execution: Design and execute detailed E2E system test plans for Ericsson Private 5G (EP5G) solutions, ensuring full coverage of 3GPP features and customer use cases.
System Integration: Integrate and validate 5G components, including Cloud-Native Core (cn5GC), RAN, and Management/Orchestration platforms, ensuring seamless interoperability.
Advanced Validation: Own the E2E validation for specific feature sets across performance, scaling, and stability, utilizing CI/CD pipelines for automated regression.
Protocol Debugging: Perform deep-dive troubleshooting of complex call flows using tools like Wireshark/QXDM to analyze NAS/AS signaling and interfaces (N1, N2, N3, etc.).
Automation Development: Develop and maintain automated test scripts within a Python/Robot Framework environment to increase test velocity and reliability.
Stability & Performance Testing: Design and run soak tests, stress tests, and load models to identify memory leaks and system bottlenecks before deployment.
Mentorship: Provide technical guidance to junior engineers, conduct peer reviews of test cases, and contribute to the team's internal knowledge base.
Skills You Bring
Bachelor’s/Master’s in CS, EE, or related field with 6–8 years of experience in Telecom/Network testing.
5G/4G Domain Knowledge: Strong understanding of 3GPP architectures and protocols (NGAP, S1AP, RRC, HTTP/2). Ability to analyze multi-interface traces to isolate faults.
Cloud-Native Skills: Hands-on experience with Kubernetes (K8s), Docker, and Helm. Understanding of K8s networking (Services, Load Balancers, and CNI basics) is essential.
Networking Foundations: Solid knowledge of L2/L3 networking, including IPV4/V6, VLANs, Routing, and familiarity with OSPF/BGP.
Automation Proficiency: Strong Python scripting skills and experience with Robot Framework (or similar) to automate complex system-level scenarios.
System Validation Expertise: Proven ability to design test cases for performance (throughput/latency), scaling, and stability (soak/reliability).
Infrastructure & Tools: Proficiency in Linux/Unix environments. Experience with industry tools such as Spirent (Landslide), Keysight, or Viavi.
“All academic credentials must be from recognized and accredited institutions and are further subject to verification.”

Work arrangement
No