About the role 

We are onboarding a new 5G Standalone (SA) Core from lab into production to serve our IoT, consumer, and connected-car traffic. This role owns the engineering work that gets it there: design input, test plan execution, integration with surrounding OSS/BSS and provisioning systems, and the automation that makes all of the above repeatable. 

You will be hands-on. You will write Python. You will validate that provisioning and data services work end-to-end before customer traffic touches the new core. 

This is a senior individual-contributor role. You will not manage people, but you will be expected to set technical direction, mentor, and represent the team in cross-functional design reviews. 

Please note that this is a remote opportunity for applicants based in the US.

What you’ll do 

• Contribute to design reviews for the 5G SA Core lab-to-production transition, with a focus on data-plane and provisioning correctness. 
• Build and execute integration test plans against core network functions (AMF, SMF, UPF, UDM/UDR, AUSF, NRF, PCF, NSSF) and the surrounding ecosystem (HSS migration paths, OSS/BSS, DNS, charging, policy). 
• Validate IoT and consumer provisioning flows end-to-end: SIM/eSIM/eUICC onboarding, subscriber activation, profile changes, network attach, PDU session establishment, data session continuity. 
• Build automation — primarily in Python — for repeatable testing, configuration, and post-deployment validation. Reduce manual toil in the lab→prod handoff. 
• Partner with vendor engineers, internal NetOps, security, and product teams to triage and resolve integration defects. 
• Troubleshoot from the device through the RAN to the core: PCAPs, NF logs, signaling traces (NGAP, N1/N2, N4, HTTP/2 SBI), KPIs. 
• Document runbooks, test artifacts, and automation so the work is auditable and the team can run without you. 

Required qualifications 

• 7+ years of network engineering experience, with at least 2 years in 4G/5G mobile core (EPC and/or 5GC). 
• Working knowledge of 5G SA architecture and the major control- and user-plane NFs; comfortable reading 3GPP-style call flows. 
• Hands-on experience integrating or testing mobile core deployments — not just operating them — including lab-to-production transitions. 
• Production-grade Python: you write code others maintain, not just scripts. Familiarity with REST/gRPC, async I/O, and at least one test framework (pytest or equivalent). 
• Experience with IoT cellular networks (NB-IoT, LTE-M, or 5G IoT slices) and the provisioning side of IoT (eSIM/eUICC, IoT connectivity platforms, subscriber lifecycle). 
• Solid troubleshooting fundamentals: packet captures, signaling analysis, log correlation across NFs. 

Preferred qualifications 

• Experience supporting AT&T’s US IoT network — its services, provisioning stack, and customer-facing platforms. 
• Familiarity with AT&T internal automation and test tooling. 
• Experience with connected-car / automotive cellular workloads (eUICC remote provisioning, persistent connectivity, mobility patterns). 
• Consumer wireless network experience (subscriber scale, mass provisioning, MVNO interfaces). 
• Automation tooling beyond Python: Ansible, Terraform, CI/CD pipelines for network functions, NETCONF/YANG, Robot Framework or similar for network test automation. 
• Experience with cloud-native NF deployments (Kubernetes, Helm, service mesh). 
• Test tooling experience: traffic generators, signaling simulators, network emulation. 

Interview Integrity:

During the interview process, we're evaluating your individual problem-solving skills, creativity, and approach to challenges. While AI tools like ChatGPT, Claude, and Cursor are part of your daily toolkit once you join B-Yond, all interviews, assessments, and take-home assignments must be completed independently. 

You may not use AI tools, third-party services, coaching platforms, or content-farming services during any part of the interview process unless we explicitly permit it. We will clearly communicate when AI tools are allowed for specific assessments.

Any indication of third-party assistance or AI-generated responses will result in immediate disqualification.