We are seeking a Staff FinOps Engineer / Architect to design and drive the next generation of cost governance efficiency and optimization systems for Apples Data Platform. You will lead architecture and development of frameworks that make cost usage and efficiency visible actionable and intelligent across Apples large-scale data infrastructure.
- 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.
- 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.
- Bachelors or Masters degree in Computer Science Electrical Engineering or related field (or equivalent experience)
Required Experience:
Staff IC
We are seeking a Staff FinOps Engineer / Architect to design and drive the next generation of cost governance efficiency and optimization systems for Apples Data Platform. You will lead architecture and development of frameworks that make cost usage and efficiency visible actionable and intelligent ...
We are seeking a Staff FinOps Engineer / Architect to design and drive the next generation of cost governance efficiency and optimization systems for Apples Data Platform. You will lead architecture and development of frameworks that make cost usage and efficiency visible actionable and intelligent across Apples large-scale data infrastructure.
- 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.
- 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.
- Bachelors or Masters degree in Computer Science Electrical Engineering or related field (or equivalent experience)
Required Experience:
Staff IC
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