Sr Manager - Infrastructure, SRE, & AI Platforms - Services Special Projects

Apple Inc.
Cupertino, CA, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$237,600.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Databases Data Centers Data Infrastructure Dataspaces Disaster Recovery Distributed Systems PostgreSQL Machine Learning MongoDB
+19 more
Open Source Technology Software Architecture Redis Reliability Engineering Data Streaming AI Infrastructure Data Logging Data Storage Management Load Balancing Cloud Platform System System Availability HybridCloud AI Platforms Kubernetes Information Technology Cassandra Apache Kafka Cloud Optimization AWS EKS

Job description

We are looking to hire a Senior Infrastructure, SRE & AI Platforms Manager to help set the long-term technical strategy, organizational structure, and operational roadmap for global, mission-critical infrastructure platforms on the Services Special Projects team.

This position requires a rare blend of deep technical domain expertise-spanning distributed systems, Kubernetes, and AI workload orchestration-and proven organizational leadership managing large, globally distributed engineering teams., In this role, you will be responsible for defining and building infrastructure strategy that balances continuous innovation with high reliability, performance, and cost efficiency. You will lead a growing, multi-tiered team of engineers who are responsible for foundational platforms that power large-scale consumer and enterprise workloads.

Beyond operational delivery, you will establish standards for operational excellence, Site Reliability Engineering (SRE), and capacity planning. You will be a key strategic partner, translating complex business imperatives into scalable platform designs while cultivating a strong engineering culture focused on automation, technical ownership, accountability, and continuous improvement.

Responsibilities

Strategic Leadership & Architecture

Multi-Year Roadmap & Strategy: Define and execute the long-term technical vision and capital investment strategy for global compute, storage, network, observability, and AI infrastructure.

Management & Organizational Alignment: Partner with Leadership to align platform capabilities, risk management, capacity investments, and architectural decisions with overarching business goals.

Technical Tradeoffs: Evaluate emerging infrastructure technologies, and make strategic platform trade-off decisions.

AI Compute & Modern Infrastructure Platforms

AI Infrastructure at Scale: Architect, scale, and optimize large-scale environments for training and inference, resolving complex challenges in cluster design, scheduling, interconnect performance, storage throughput, and capacity planning.

Hybrid & Multi-Cloud Compute: Oversee internal Kubernetes compute environments as well as managed public cloud platforms (AWS EKS, GCP GKE) and large bare-metal footprints to provide seamless developer experiences.

Data & Storage Platform Management: Direct the strategy and maintenance for distributed block/object storage alongside managed database and data streaming platforms (e.g., Cassandra, FoundationDB, Redis, PostgreSQL, MongoDB, Kafka).

Networking, Traffic & Security: Ensure reliable global traffic management, load balancing, cloud networking architectures, and enterprise security compliance across all environments.

SRE, Operational Excellence & Engineering Culture

Site Reliability Engineering (SRE): Cultivate a mature SRE culture focusing on high availability, automated fault recovery, telemetry, logging, metrics, and rigorous post-incident analysis.

Global Team & Leadership Development: Build, mentor, and lead a globally distributed organization comprising engineers, managers, and managers-of-managers across all levels (interns through senior principal staff).

Culture of Ownership & Automation: Establish an environment characterized by strong technical ownership, clear accountability, continuous operational refinement, and aggressive automation of manual processes.

Requirements

MS Degree in Computer Science or related degree and 12+ years of experience of progressive engineering leadership experience building, scaling, and operating mission-critical infrastructure platforms and global services.

Management & Leadership Scope: 6+ years managing multi-layered engineering organizations (manager-of-managers) with a proven track record of hiring, developing, and retaining top-tier technical talent across global sites.

Cloud & Distributed Compute Expertise: Demonstrated hands-on and architectural mastery of cloud-native infrastructure, Kubernetes platform engineering, and hybrid cloud operations (AWS, GCP, private data centers).

Accelerated Computing & AI Infrastructure: Direct operational and architectural experience running large-scale systems for AI/ML training and inference workloads, including utilization optimization, scheduling, and high-performance storage/networking.

SRE & Production Operations: Deep background in Site Reliability Engineering (SRE) principles, telemetry, observability frameworks, disaster recovery, and managing 24/7 high-availability infrastructure at scale.

Technical Communication: Exceptional ability to seamlessly bridge executive strategy and low-level technical trade-offs-communicating vision to executive stakeholders while driving detailed technical discussions with principal engineers.

Preferred Qualifications

Large-Scale Enterprise Provenance: Experience leading core infrastructure or foundational platform SRE for a global, tier-1 technology organization operating at massive scale.

Multi-Engine Database & Data Infrastructure: Familiarity overseeing diverse open-source and proprietary storage/data ecosystems (e.g., Cassandra, FoundationDB, Kafka, Redis, PostgreSQL).

Financial & Capacity Governance: Proven competency managing large-scale infrastructure investments, capital expenditures, operational budgets, capacity forecasting, and cloud optimization strategies.

Benefits & conditions

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $237,600 and $401,700, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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