Sr Engineering Manager Services Special Projects

Join a team working on Services Special Projects. You will be surprised at the great work you can are looking for a Senior Manager with at least 8 years managing large-scale distributed systems and relevant solutions.

At Apple great ideas turn into phenomenal products services and customer experiences at a pace few companies can match. Were looking for a seasoned engineering leader to build and lead a team of distributed systems engineers creating a brand-new service that will power experiences for Apple customers at massive this role you will set the technical and organizational direction for the project from the ground up. Youll partner closely with the leaders of Search Client AI and Data Engineering teams to define the architecture roadmap and execution plan for a mission-critical service. You will be accountable for architecting building and operating highly distributed systems and microservices that are low-latency fault-tolerant deeply observable and backed by strongly consistent systems of record. Youll also lead the effort to bring ML workloads into production making sure models are served reliably and efficiently in the request is a senior leadership role for someone who thrives on ambiguity enjoys building teams from scratch as much as systems and can grow a high-performing organization while staying hands-on with architecture and technical decision-making.n

Hire lead mentor and grow a team of senior distributed systems engineers; scale the team and its processes as the project the architecture design and delivery of highly distributed systems and microservices built for scalability high availability fault tolerance and low the operationalization of ML workloads in production including model serving inference performance capacity planning rollout strategies and monitoring of model behavior in the transaction with SRE to set and uphold operational excellence: SLOs/SLIs comprehensive monitoring and alerting on-call health incident response and blameless data modeling and storage strategy across transactional databases NoSQL stores caching layers and event streaming systems ensuring correctness consistency and with Data Engineering to design reliable data pipelines and feedback loops between online services and offline analytics/ML training with client and iOS teams to define performant well-versioned service APIs and contracts that deliver great customer engineering best practices across design reviews code quality testing CI/CD security and clearly with senior leadership and cross-functional stakeholders on strategy priorities trade-offs risks and an inclusive collaborative team culture built on ownership learning and technical excellence.

Bachelors or Masters degree in Computer Science or a related field or equivalent experience.n15 years of professional software development experience including building and operating large-scale distributed systems in production.n8 years of people management experience leading teams of senior backend or distributed systems engineers including hiring and growing track record of taking a new service from concept to production at scale and owning its long-term expertise in architecting multi-tiered distributed systems and microservices: API design authentication and authorization concurrency scaling for high availability fault tolerance and background in the Java/JVM ecosystem (e.g. Spring Boot async/reactive frameworks such as Netty or Project Reactor) and RPC frameworks such as understanding of transactional consistency models ACID semantics and the trade-offs between relational and NoSQL database with event streaming and queueing systems (e.g. Kafka) stream processing and caching technologies (e.g. Redis) in production running services on AWS or GCP with cloud-native tooling (Docker Kubernetes) and mature CI/CD operational mindset: experience defining SLOs building observability (metrics logging tracing alerting) and leading incident response for customer-facing deploying and operating ML models or ML-powered services in production communication skills and the ability to influence and align senior cross-functional

Experience building search ranking recommendation or personalization -on experience serving and optimizing LLMs or ML models in the request path including GPU-backed inference at with MLOps practices: model versioning feature stores A/B testing and experimentation and model partnering with client and mobile teams on API design data contracts and end-to-end with data lake and analytics technologies (e.g. Iceberg Spark) and schema tooling (Protobuf Avro Schema Registry).nBackground in security and privacy: TLS X.509 certificates OAuth2/OIDC threat modeling and privacy-preserving system growing a team from early stage to a multi-team organization including developing senior engineers and future -motivated and comfortable with ambiguity with experience in fast-paced agile environments.n