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Urgent! Senior / Staff FinOps Engineer / Architect, Apple Data Platform Job Opening In Seattle – Now Hiring Apple

Senior / Staff FinOps Engineer / Architect, Apple Data Platform



Job description

**Role Number:** 200626394-3337

**Summary**
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.

**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, GCP, 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 $171,600 and $302,200, 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.

(https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .



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