Senior UICC/eUICC/eSIM Engineer

Your Role We are looking for a hands-on UICC/eUICC/eSIM specialist to take ownership of the engineering, interoperability, and certification readiness of our Consumer eSIM (SGP.22) and IoT eUICC (SGP.32) products. You will operate across the full lifecycle, from profile design and technical specification to validation and production readiness, working at the intersection of SIM technology, devices, and mobile networks. The role is focused on ensuring our eSIM products meet a high bar for quality, reliability, and interoperability before rollout. Your Impact Own the end-to-end engineering and validation of SGP.22 and SGP.32 eSIM products, including profile design reviews and translation of product requirements into technical specifications Define and execute certification and validation strategies using GSMA artefacts (e.g. SAIP, BAP), including lab and real-world interoperability testing across devices and networks Investigate and resolve complex cross-domain issues (SIM, device, network), providing clear root cause analysis and coordinating fixes with internal teams and external vendors Act as the technical point of contact for remote provisioning platforms (SMDP+, eIM) and SIM/eUICC vendors, including defining acceptance criteria and supporting go/no-go decisions for production rollout Produce clear technical documentation (test reports, defect analysis, certification status) to enable Product, Support, and Customer-facing teams Your Skills Strong hands-on experience in SIM/eSIM/eUICC engineering, validation, certification, or a closely related technical domain Proven experience working with GSMA standards, particularly SGP.22 and SGP.32 Solid understanding of UICC/eUICC architecture, profile lifecycle, and OTA/provisioning processes Experience designing and executing test strategies using certification-style artefacts (e.g. SAIP, BAP or similar) Ability to debug complex issues across SIM, device, and network layers and coordinate resolution with multiple stakeholders tyle operational models.