Software Engineering Manager, Wallet Identity

Apple

United States Of America, United States
**
10+ years distributed systems experience
5+ years engineering management experience
Managing managers or technical leads
** Apple is seeking a Software Engineering Manager for its Wallet Identity Services team, focusing on building and operating digital identity solutions that ensure security and user privacy. The ideal candidate should possess substantial experience in software engineering management, particularly in machine learning and distributed systems. **

Job Summary

  • This role leads a team responsible for the full lifecycle of ML-powered services powering liveness detection, face matching, and image quality.
  • The position sits at the intersection of software engineering, machine learning, and DevOps to build secure digital identity services.
  • Candidates must demonstrate a track record of building high-performing teams while driving operational excellence in a fast-paced environment.

Matching Summary

Match Score: 75

** Apple is seeking a Software Engineering Manager for its Wallet Identity Services team, focusing on building and operating digital identity solutions that ensure security and user privacy. The ideal candidate should possess substantial experience in software engineering management, particularly in machine learning and distributed systems. **

Skills & Requirements

Must-have

  • 10+ years distributed systems experience
  • 5+ years engineering management experience
  • Managing managers or technical leads
  • Deploying ML models in production
  • Distributed systems fundamentals expertise
  • Operational excellence and incident management

Nice-to-have

  • Java or Kotlin with Spring framework
  • High-volume REST or gRPC services
  • ML infrastructure and experiment tracking
  • Containerization and cloud-native architectures
  • Computer vision or liveness detection domain
  • Generative AI tools for development

Key Requirements

  • 10+ years professional software engineering experience
  • 5+ years engineering management experience
  • Experience managing managers or technical leads
  • Proven ability to deploy ML models in production

Work Rights

Not specified

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