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 manager to lead our follow-the-sun SRE team in Hyderabad. This is a leadership role with a dual mandate: ensure business continuity for Maps services around the clock, and take an existing SRE team in Hyderabad to the next level - growing its scope, capabilities, and impact so it operates as a true peer - not a satellite - of the US organisation. You will work closely with engineering, product, and operations partners across Apple.

You will lead a team 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 practised - 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 organisation.","responsibilities":"

Operate with the fundamental principle that reliability is feature number one.

Work with the US team on defining and executing a SRE strategy that serves the needs of our external and internal users around the clock.

Lead and grow an SRE team, setting the bar for technical excellence, operational rigor, and engineering culture.

Represent the SRE perspective in cross-functional planning - translating reliability requirements into architecture decisions and investment priorities.

Champion the "Engineering" in Site Reliability Engineering - driving automation, platform improvements, capacity strategy, and systems design beyond reactive incident response.

Work with SRE leadership on defining and executing an AI strategy for the SRE organisation - identifying high-impact opportunities where AI/ML-powered tooling can reduce toil, accelerate root cause analysis, and improve reliability outcomes.

Drive adoption of AI-assisted tooling (copilots, intelligent runbooks, LLM-based diagnostics, anomaly detection) into day-to-day SRE workflows.

Build a culture where engineers actively experiment with AI tools and modern approaches to solve operational problems.

Build strong partnerships across Apple, negotiating priorities and aligning on shared goals with an Apple-first mindset.

Communicate effectively at the executive level - presenting strategy, trade-offs, and progress to senior leadership.

Mentor and develop leaders within your organisation, creating a culture where people do their best work.

Celebrate wins, recognise contributions, and make tough calls when needed.

Preferred Qualifications

Has lead follow the sun SRE teams for large scale distributed services

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

Minimum Qualifications

15+ years of experience in SRE or adjacent disciplines (systems engineering, infrastructure engineering, production engineering), with at least 5 years in senior management roles.

Demonstrated experience leading SRE teams 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 organisation.

Proven ability to communicate at the executive level and negotiate across organisational boundaries.","internalDetails":null,"eeoContent":null