1,188 jobs in San Francisco, CA

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Sr. Director, Applied Researcher

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Senior Director, Product Management-Airkey

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At Capital One - San Francisco · McLean

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Senior Director, Technical Program Management

At Capital One - McLean · Richmond

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Credit Underwriter I/II-Commercial Real Estate Banking

At Bank of America - Chicago · San Francisco

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Senior Capacity Engineer

At Apple - San Francisco

Posted on Oct 15

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Global GTM Lead, Teamwork Collection- Mid-Market

At Atlassian - Remote / Flexible

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Head of Data Governance & Enterprise Context Eng

At Atlassian - Remote / Flexible

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Principal Product Manager, Confluence Aggregation

At Atlassian - Remote / Flexible

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Lead Product Designer, AI

At Atlassian - Remote / Flexible

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Principal Analyst, Sales Strategy & Operations

At Atlassian - Remote / Flexible

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Senior Capacity Engineer

San Francisco, CA$175,500 – $311,700Posted 26 days ago

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We're looking for a Senior Capacity Engineer to own capacity planning across our Compute platforms and services. You'll forecast demand, model infrastructure growth, identify efficiency opportunities, and work directly with engineering, finance, and leadership to ensure we have the right resources in the right place at the right time. A key part of this role is leveraging AI to build intelligent dashboards and drive predictive analysis - moving capacity planning from reactive to proactive. This role sits at the intersection of infrastructure engineering, data analysis, and strategic planning - and operates at a scale few organizations in the world can offer.

Description

- Own the end-to-end capacity planning lifecycle for our platforms - demand forecasting, supply planning, utilization analysis, and efficiency optimization

- Drive monthly capacity forecasts - own the process end-to-end, ensuring timely and accurate submissions every cycle

- Submit and track incremental capacity requests - ensure new resource needs are captured, justified, and filed on a monthly cadence

- Represent the platform in all capacity-related forums and meetings - be the authoritative voice on current state, projected needs, and risks across cross-functional reviews

- Build and maintain capacity models that translate business growth signals into infrastructure requirements

- Use AI to build dashboards and reporting tools that surface capacity health, trends, and anomalies - making complex infrastructure data accessible to engineering and leadership

- Apply AI-driven analysis to predict resource needs and flag capacity risks before they become incidents - shifting the team from reactive firefighting to proactive planning

- Partner with service teams to understand workload characteristics, growth trajectories, and resource consumption patterns

- Identify and drive efficiency improvements - right-sizing, bin-packing, rebalancing, and decommissioning underutilized resources

- Establish and track capacity-related SLOs and KPIs (utilization targets, lead times, headroom thresholds)

- Represent capacity planning in procurement and budget cycles, providing data-driven recommendations for hardware acquisition

- Drive quarterly and annual capacity reviews, surfacing risks and opportunities to senior leadership

Preferred Qualifications

Hands-on experience with LLMs, AI coding assistants, or generative AI for engineering productivity

Familiarity with infrastructure procurement and hardware lifecycle management

Exposure to time-series forecasting methods (statistical or ML-based)

Minimum Qualifications

8+ years of experience in infrastructure engineering, capacity planning, SRE, or a related discipline

Experience with capacity planning at hyperscale or large enterprise infrastructure

Demonstrated experience forecasting infrastructure demand and translating it into actionable supply plans

Strong analytical skills - comfortable working with large datasets, building models, and drawing conclusions from utilization and performance data

Experience applying AI/ML techniques to operational or infrastructure problems - anomaly detection, demand forecasting, trend analysis, or similar

Ability to build AI-assisted dashboards and tooling that turn raw infrastructure data into actionable insights

Solid understanding of compute infrastructure concepts: virtualization, containers, orchestration (Kubernetes), bare metal, resource scheduling

Ability to communicate complex technical trade-offs to both engineering teams and non-technical stakeholders

Self-directed and comfortable operating with ambiguity - you define the process, not just follow it

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 $175,500 and $311,700, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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