Site Reliability Engineering (SRE) Manager, Apple Maps

Apple Maps and location services are used by hundreds of millions of people

every day to navigate the world. Behind every search, route, and point of

interest is a massive distributed serving infrastructure that must be fast,

reliable, and always available. This SRE org is responsible for the availability

and automation of some of the most visible and widely used services that power

Apple Maps. If you are passionate about reliability at planet scale and are

excited to help us build, grow, manage and deliver infrastructure that scales

with Apple Maps, this is the opportunity for you!

DESCRIPTION

We are looking for a senior SRE leader to set the strategic direction for our

Maps serving infrastructure. This is not just a "keep the lights on" role — this

is a leadership position that defines where our infrastructure goes next, how

our SRE practice evolves, and how we build the teams and partnerships to get

there. You will work closely with engineering, product, and operations partners

across Apple to shape the roadmap for our serving platform. You will lead an

organization of SREs and hold responsibility for the reliability, scalability,

and operational excellence of some of Apple's most visible services. We believe

AI will fundamentally reshape how SRE is practiced — from incident detection and

resolution to capacity planning and toil elimination — and we're looking for a

leader who shares that conviction and can drive that transformation across the

organization.

MINIMUM QUALIFICATIONS

10-15+ years of experience in SRE or adjacent disciplines (systems engineering,

infrastructure engineering, production engineering), with at least 10 years in

senior management roles Demonstrated experience leading SRE organizations

supporting large-scale, user-facing distributed services Strong technical

proficiency in Linux fundamentals, distributed systems concepts, networking, and

infrastructure at scale Demonstrated experience applying AI/ML tooling or

LLM-based solutions to improve SRE or infrastructure operations Ability to read

and understand code produced by LLMs and evaluate its suitability for production

use Has defined or is actively executing an AI strategy for a large SRE

organization Proven ability to communicate at the executive level and negotiate

across organizational boundaries

PREFERRED QUALIFICATIONS

Experience with cloud infrastructure (AWS, GCP) and Kubernetes at scale

Background in capacity planning, performance engineering, or infrastructure

architecture Track record of driving cultural and process transformation within

SRE organizations Experience building or deploying AI-powered operational

tooling (AIOps, intelligent alerting, automated diagnostics) Hands-on experience

with LLM-based developer/SRE productivity tools Track record of driving AI

adoption within engineering teams Experience operating services at Apple-scale

user volumes