Software Engineering Manager, Wallet Identity

As an Engineering Manager on the Wallet Identity Services team, you will lead a group of engineers and technical leads responsible for the services powering liveness detection, face matching, and image quality. You will own the full lifecycle of these ML-powered services — from architecture and development through deployment, monitoring, and on-call operations. This role sits at the intersection of software engineering, machine learning, and DevOps. You will partner with ML engineers to deploy and operate models at scale, and collaborate closely with the iOS team that builds the on-device experience. You will define engineering strategy across multiple workstreams, drive operational excellence, and grow both your team and its leaders. Minimum Qualifications 10+ years of professional software engineering experience building and operating distributed systems at large scale. 5+ years of engineering management experience with a track record of building, growing, and leading high-performing teams. Experience managing managers or technical leads, with accountability for outcomes across multiple workstreams or sub-teams. Experience managing the deployment and operation of ML models in production, including model serving, monitoring, and lifecycle management. Strong understanding of distributed systems fundamentals and trade-offs in consistency, latency, and throughput. Demonstrated ability to drive operational excellence, including on-call culture, incident management, and reliability practices. Clear and thoughtful communicator, able to drive consensus on complex technical topics with diverse audiences including cross-functional and geographically distributed teams. A track record of building influence and healthy relationships within and beyond your immediate team. Preferred Qualifications Hands-on software development experience with Java or Kotlin and Spring. Experience building and operating high-volume REST or gRPC services. Familiarity with ML infrastructure — model serving, experiment tracking, data pipelines, and A/B testing for models. Experience with containerization, orchestration, and cloud-native architectures. Understanding of security, privacy, and cryptography fundamentals. Experience with databases at scale, both relational and NoSQL. Experience with workflow orchestration tools. Domain experience in computer vision or liveness detection. Familiarity with digital identity standards such as ISO 18013/23220. Experience using generative AI tools to accelerate software development.