Jumio

Lead the test automation strategy for Jumio’s scalable web portals and distributed, event-driven backend systems. This hands-on technical leadership role combines framework development, performance and resilience testing, cloud-native quality engineering, and mentoring.

Principal Enterprise Architect leading hands-on modernization of Jumio’s AWS-based, multi-tenant SaaS architecture with a strong focus on scalability, cost efficiency, data platforms, and GenAI adoption. The role combines enterprise architecture governance with technical prototyping, developer enablement, and cross-functional leadership.

Lead Jumio’s enterprise architecture strategy across cloud, AI, data, and scalable multi-tenant SaaS systems. This hands-on technical leadership role combines AWS architecture, GenAI adoption, cost optimization, and cross-team architectural governance.

Software Engineer II focused on building automated web and API tests for Jumio’s scalable identity verification products. The fixed-term role partners with engineering and product teams to improve release confidence, reliability, and quality.

Lead the development of advanced machine learning and computer vision models that detect fraud in online identity verification. This role owns production ML systems, from research and training through deployment and monitoring.

Lead the design, training, and production scaling of computer vision and face recognition systems for biometric identity solutions. This role combines deep ML research and engineering with fairness analysis, AWS deployment, and technical leadership.

Lead the design, training, and production deployment of computer vision and biometric machine learning systems, with a focus on face recognition, fairness, and low-latency inference. This role owns end-to-end ML pipelines on AWS and mentors engineers across the Computer Vision team.

Machine Learning Engineer leading the design, training, optimization, and production scaling of computer vision and biometric face recognition systems. The role combines advanced model development, fairness analysis, end-to-end ML pipelines, and AWS deployment.