Voice Platform Engineer

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Join a team building the next generation of large-scale voice and real-time communication platforms that power seamless customer and agent experiences across the globe. In this role, you will lead the design and development of highly scalable distributed systems that handle voice signaling, media processing, routing, and real-time communications for millions of interactions.

As a Senior Voice Platform Software Engineer, you will play a key role in architecting, developing, and operating scalable voice infrastructure and real-time communication services used in high-volume customer interaction environments. You will work on technologies related to SIP signaling, media handling, WebRTC, distributed systems, and cloud-native platform development.

This role requires strong software engineering fundamentals, deep technical expertise, and the ability to drive complex initiatives across multiple teams.

5+ years of software development experience using C or C++ Experience with real-time communication platforms such as FreeSWITCH, Kamailio, Asterisk, or similar technologies Strong experience developing scalable backend or distributed systems software Strong understanding of networking fundamentals including TCP/IP, HTTP, TLS, load balancing, and distributed system concepts Experience with SIP, RTP, and VoIP technologies Experience troubleshooting production systems and operating highly available services at scale Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience

Experience with WebRTC and modern real-time communication architectures Familiarity with cloud-native architectures and container technologies such as Docker or Kubernetes Experience with scalable event-driven systems and distributed infrastructure technologies such as Kafka or Redis Experience driving technical design discussions and mentoring engineers across teams