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Sr Engineering Manager - Services Special Projects

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Apple Inc.
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    Software Architect, Senior Developer, Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 237600 - 401700 USD Yearly USD 237600.00 401700.00 YEAR
Job Description & How to Apply Below
Sr Engineering Manager - Services Special Projects

Cupertino, California, United States Software and Services

Join a team working on Services Special Projects. You will be surprised at the great work you can do.

We are looking for a Senior Manager with at least 8 years managing large-scale distributed systems and relevant solutions.

Description

At Apple, great ideas turn into phenomenal products, services, and customer experiences at a pace few companies can match. We're 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.

You'll 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. You'll also lead the effort to bring ML workloads into production, making sure models are served reliably and efficiently in the request path.

This 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.

Responsibilities
  • Hire, lead, mentor, and grow a team of senior distributed systems engineers; scale the team and its processes as the project expands.
  • Own the architecture, design, and delivery of highly distributed systems and microservices built for scalability, high availability, fault tolerance, and low latency.
  • Lead the operationalization of ML workloads in production, including model serving, inference performance, capacity planning, rollout strategies, and monitoring of model behavior in the transaction path.
  • Partner with SRE to set and uphold operational excellence: SLOs/SLIs, comprehensive monitoring and alerting, on-call health, incident response, and blameless postmortems.
  • Drive data modeling and storage strategy across transactional databases, No

    SQL stores, caching layers, and event streaming systems, ensuring correctness, consistency, and durability.
  • Work with Data Engineering to design reliable data pipelines and feedback loops between online services and offline analytics/ML training systems.
  • Collaborate with client and iOS teams to define performant, well-versioned service APIs and contracts that deliver great customer experiences.
  • Establish engineering best practices across design reviews, code quality, testing, CI/CD, security, and privacy.
  • Communicate clearly with senior leadership and cross-functional stakeholders on strategy, priorities, trade-offs, risks, and progress.
  • Foster an inclusive, collaborative team culture built on ownership, learning, and technical excellence.
Minimum Qualifications
  • Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience.
  • 15+ years of professional software development experience, including building and operating large-scale distributed systems in production.
  • 8+ years of people management experience leading teams of senior backend or distributed systems engineers, including hiring and growing teams.
  • Proven track record of taking a new service from concept to production at scale and owning its long-term operation.
  • Deep expertise in architecting multi-tiered distributed systems and microservices: API design, authentication and authorization, concurrency, scaling for high availability, fault…
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