Senior / Staff FinOps Engineer / Architect, Apple Data Platform

  • Cupertino, CA
  • Posted 5 days ago | Updated 2 hours ago

Overview

On Site
USD 181,100.00 - 318,400.00 per year
Full Time

Skills

Decision-making
Innovation
Caching
Instrumentation
Dashboard
Reporting
Real-time
IDLE
Cost Reduction
Budget
KPI
Mentorship
Accountability
FOCUS
Scalability
Cloud Computing
Storage
Network
Python
Java
Apache Spark
Kubernetes
Analytics
Grafana
Build Automation
Collaboration
Communication
Finance
Machine Learning (ML)
GPU
Scheduling
Training
Amazon Web Services
Google Cloud
Google Cloud Platform
Capacity Management
Forecasting
Optimization
Open Source
Computer Science
Electrical Engineering
Payments

Job Details

The Apple Data Platform powers analytics, machine learning, and critical decision-making systems across Apple. As the scale of our data and compute grows, cost efficiency and fiscal stewardship are vital to maintaining Apple's culture of innovation and responsibility.

Description We are seeking a Staff FinOps Engineer / Architect to design and drive the next generation of cost governance, efficiency, and optimization systems for Apple's Data Platform. You will lead architecture and development of frameworks that make cost, usage, and efficiency visible, actionable, and intelligent across Apple's large-scale data infrastructure.

Responsibilities
  • You will design and build the foundational FinOps architecture for the Apple Data Platform - the systems that enable cost visibility, efficiency, and accountability across thousands of workloads.
  • In this role, you will:
  • Lead the design of a scalable cost attribution and chargeback framework spanning compute, storage, caching, GPU, and network layers.
  • Build instrumentation and data pipelines that collect usage telemetry, normalize cost data, and surface insights across Apple's internal and cloud environments.
  • Partner with platform and infrastructure teams to integrate cost efficiency automation - autoscaling, throttling, resource reclamation, and policy enforcement.
  • Develop dashboards and reporting systems that provide real-time visibility into utilization, waste, and savings opportunities.
  • Guide efficiency initiatives across teams - identifying underutilized clusters, GPU idle time, and unoptimized workloads - and drive measurable cost reduction.
  • Collaborate with Finance, Capacity Planning, and Engineering to define budgeting models, KPIs, and showback/chargeback policies.
  • Mentor engineers across the organization in FinOps best practices and foster a culture of fiscal accountability within engineering.
  • This is a high-impact, cross-functional role. You'll work across Apple Cloud, AIML, and platform teams to ensure every dollar of compute delivers maximum value.

Minimum Qualifications
  • 8+ years of experience in software, infrastructure, or platform engineering with a focus on performance, scalability, or cost optimization.
  • Deep technical understanding of cloud and on-prem compute, storage, GPU/accelerator, and network cost models.
  • Proven experience building cost attribution, chargeback, or FinOps automation systems at scale.
  • Strong programming proficiency in Python, Go, or Java, and familiarity with large data systems (Spark, Kubernetes, or distributed schedulers).
  • Hands-on experience with observability platforms, telemetry collection, and usage analytics (e.g. Prometheus, Grafana, Datadog, or custom metrics pipelines).
  • Ability to model resource usage, design allocation frameworks, and build automation that enforces efficiency policies.
  • Strong collaboration and communication skills to influence partner engineering, finance, and capacity planning teams.
  • Comfort with ambiguity and proven ability to define structure and frameworks in new domains.
  • A passion for driving measurable cost and efficiency improvements through engineering excellence.

Preferred Qualifications
  • Experience in ML systems, GPU scheduling, or large-scale training/inference platforms.
  • Familiarity with AWS, Google Cloud Platform, or internal Apple infrastructure cost constructs.
  • Background in capacity planning, forecasting, or resource optimization for shared infrastructure.
  • Experience designing data models, metrics, and pipelines for cost telemetry.
  • Contributions to open-source FinOps or observability frameworks.
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)

Pay & Benefits 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 $181,100 and $318,400, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.