Jobs Private USA → Technology → Data, analytics and AI → Senior Cloud Infrastructure and AI Efficiency Engineer

Senior Cloud Infrastructure and AI Efficiency Engineer

Apple · Austin, TX · posted 20 days ago

In short: Senior Cloud Infrastructure and AI Efficiency Engineer at Apple in Austin, TX, posted 20 days ago.

By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.

Appleemployer
Austin, TXlocation
Data, analytics and AIsub-niche
20 days agoposted
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The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-10-20

EmployerApple
LocationAustin, Texas
FieldTechnology › Data, analytics and AI
LevelSenior Level
Source categoryData and Analytics
Posted2026-10-20 (20 days ago)
Work arrangementOn-site at the location listed
PayNot published in the source listing

Job description

The people here at Apple don't just create products-they create the kind of wonder that's revolutionized entire industries. We know our ability to continue creating the world's most innovative products depends on people who represent the variety of the human experience and who inspire us with great thinking. Because the broader the backgrounds and perspectives, the bigger the ideas.

Description

Join the Cloud Infrastructure Business Operations team that is transforming the way Apple plans, strategizes and delivers its cloud resources, data centers, and hardware. We are seeking an experienced engineers to drive data and insights on planning the strategy for Apple's infrastructure. We partner with engineering, finance, procurement and other supply chain teams to align engineering strategies.

Responsibilities:

Build insights into cloud services: architecture, cost, utilization at Apple scale and collaborate on efficiency with service teams like iCloud, Music, Siri, or Apple TV+.

Work in a hybrid and multi-cloud environment across Apple's private cloud services and public cloud providers spanning traditional compute, storage, AI training clusters, and inference serving at scale.

Unlock career growth beyond any single platform.

Partner with senior engineering and business leaders to translate complex, high-dimensional infrastructure data into clear business metrics for strategic recommendations that drive measurable financial and operational value for the infrastructure business.

Help build services that see privacy as a fundamental right and protect user data at all cost.

Be a force multiplier for engineering teams.

Go beyond reports and dashboards - use AI to deliver proactive, contextual insights and recommendations rooted in engineering best practices that helps engineering teams make better architectural decisions faster, at every stage of the development lifecycle.

Preferred Qualifications

Bachelor's Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience. We value what you can do, not just where you studied.

The mindset and ability to work with large data and understand the observability and statistics space specifically.

Believes the rules of cloud efficiency are being rewritten - has experience with foundation models, agentic AI, and AI-native workflows, and inspired about how they change the way infrastructure is architected, measured, and optimized.

Stays close to the frontier, brings ideas back to the team, and shapes how Apple gets ahead of the shift rather than reacts to it.

5+ years designing, operating, and optimizing infrastructure across public and private cloud environments (AWS, GCP, or equivalent on-premise), with a strong intuition for how architectural decisions translate into cost and performance outcomes at scale.

Experience in cloud platforms (AWS, GCP, Azure) - including security, cost optimization, and governance best practices across hybrid and multi-cloud environments.

Experience designing and deploying scalable, cloud-native architectures with a strong foundation in distributed systems, reliability, and fault-tolerant design.

Hands-on experience with FinOps and cost optimization - using tools like Cloudability or CloudHealth, and applying AI-assisted analysis to surface savings opportunities, model tradeoffs, and drive accountability across engineering teams.

Strong analytical foundation - proficient in trending, variance analysis, and forecasting, with the ability to build and communicate AI-augmented models that inform capacity planning and financial strategy.

Deep familiarity with Kubernetes - including optimization strategies for resource efficiency, bin packing, autoscaling, and cost-aware scheduling in multi-tenant and dedicated cluster environments.

Experience with cloud observability and telemetry tooling (e.g. CloudWatch, Datadog, Honeycomb) - able to connect signals from infrastructure health, performance, and cost into a coherent operational picture.

Experience building Finance or FinOps subject areas from the ground up - including unit economics, chargeback models, and the data pipelines and taxonomies that make cost attribution meaningful at scale.

Clear, compelling communicator - able to translate complex technical and financial narratives into crisp insights for both engineering and executive audiences, in writing and in the room.

Informed perspective on the AI landscape - follows the evolution of foundation models, emerging tooling, and industry adoption patterns closely enough to help shape how Apple prioritizes and invests in AI capabilities across its cloud infrastructure.

Minimum Qualifications

10+ years in an engineering role - with a track record of owning and delivering complex initiatives end-to-end.

Able to research, architect and drive complex technical solutions, consisting of multiple technologies, cloud services and AI systems - from early prototype to production at scale.

Able to write SQL hands-on with AI, understand schema design, and recognize what makes queries expensive. Knows enough to ask data engineers the right questions, not just the broad ones.

Experience with compute containerization and orchestration technologies (e.g., Docker, Kubernetes) for pod-based service deployment, operations and lifecycle management.

Genuinely curious about AI - actively explores new tools and workflows, brings ideas about what the team should adopt next, and knows how to translate those ideas into concrete asks for platform teams to build or support.

Curiosity about GPUs, AI/ML systems and LLM-powered workflows - actively explores new tools and workflows, brings ideas about what the team should adopt next, and knows how to translate those ideas into concrete asks for platform teams to build and support.

Ability to define architecture by influencing the cross-functional and software development team, while partnering with business to ensure their strategic vision with software technology is met.

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 $184,700 and $324,800, 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.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Apple Jobs in Texas Jobs in Austin, TX Austin city guide Texas state guide Travis County economy

View this job and apply on The Muse →

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About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at Apple. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.

Does the pay work here? (estimate)

Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.

How to prepare and behave

This is editorial guidance, not information from the employer.

Know your rights as a candidate and an employee:

The city

The job is in Austin, TX. Below is what the official statistics say about living and working there.

How Austin compares. Among the 120 largest places in Texas, Austin is #4 by population, #5 for remote work (#1 = most), #111 for homeownership (#1 = highest), #13 for college degrees (#1 = most). Its county, Travis County, is #5 of 254 counties for average pay ($96,267).

The place in numbers

Austin has 979,539 residents (ACS 2020–2024), about 3.2% of the population of Texas. It covers 326 square miles of land, which works out to roughly 3,001 people per square mile. The median age is 34.7, about the same as the state median (34.7 against 35.6).

Housing

The median gross rent is $1,729 a month (rent plus utilities), 23% above the state median ($1,729 against $1,403). Over a year that is 22.2% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $555,300, which is 5.9 times the median household income ($93,658); a ratio above 5 usually means buying is out of reach without savings or a second income. 43.5% of households own their home, 31% below the state average (43.5% against 62.6%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The Austin-Round Rock-San Marcos, TX metropolitan area has 1,293,690 jobs in the BLS wage survey, and the median pay across all occupations is $56,950 a year, 12% above the national median ($56,950 against $50,980). The biggest occupation groups are office and administrative support (159,340 jobs, median $47,770); management (133,950 jobs, median $129,060); food preparation and serving related (120,570 jobs, median $33,280). The area is most specialised in computer and mathematical (1.9 times) and architecture and engineering (1.5 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($129,060) and computer and mathematical ($114,350). In 2026M09 the unemployment rate of Travis County was 3.6%. 75.1% of residents aged 16 and over are in the labour force. The city lies in Travis County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 56.0% drive alone, 2.0% use public transit, 2.5% walk, 30.7% work from home. 10.2% of workers commute 45 minutes or more, 40% below the state average (10.2% against 16.9%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

59.6% of adults aged 25 and over hold a bachelor's degree or higher, 76% above the state share (59.6% against 33.8%). 18.7% of residents were born outside the United States, 7% above the state share (18.7% against 17.6%). The poverty rate is 12.0%, 13% below the state rate (12.0% against 13.8%).

Climate

The warmest month is Aug, averaging 86°F (30.1°C), and the coolest is Jan at 49°F (9.3°C). About 841 mm (33 inches) of precipitation falls in a year; May is the wettest month (111 mm) and Feb the driest (45 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Pflugerville (14 miles, rent 12% higher); Cedar Park (15 miles, rent 7% higher); Round Rock (17 miles, similar rent); Leander (20 miles, rent 12% higher). Rent differences are against Austin; use the Compare tab to put any two cities side by side.

Full guide to Austin →Texas guideAll jobs in Austin

Official links for Austin

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of Austin, TX that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.

Sort:
Place ⇅Distance from the job city ⇅Median rent ⇅Median home value ⇅Median household income ⇅Commute 45+ min ⇅Rent as % of occupation pay ⇅Open jobs there ⇅
Austin, TX0 mi$1,729$555,300$93,65810.2%n/aJobs
Pflugerville, TX14 mi$1,932$402,400$117,79912.3%n/a—
Cedar Park, TX15 mi$1,846$513,600$129,54514.8%n/a—
Round Rock, TX17 mi$1,763$418,600$99,28713.1%n/a—
Leander, TX20 mi$1,939$506,200$139,04822.3%n/a—
Hutto, TX21 mi$2,255$365,700$118,83420.4%n/a—
Kyle, TX22 mi$1,752$334,600$90,32332.1%n/a—
Georgetown, TX26 mi$1,795$429,100$95,06220.8%n/a—
San Marcos, TX31 mi$1,322$310,400$51,28116.2%n/a—
Canyon Lake, TX42 mi$1,327$389,300$97,30140.2%n/a—
New Braunfels, TX47 mi$1,654$339,400$86,02119.5%n/a—

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far Austin, TX is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Sort:
From ⇅Straight-line distance (miles) ⇅Population of that city ⇅
Austin, TX0 mi979,539
San Antonio, TX74 mi1,479,835
Houston, TX146 mi2,328,253
Fort Worth, TX173 mi963,194
Dallas, TX182 mi1,307,930
Oklahoma City, OK357 mi697,125
Denver, CO768 mi718,877
Phoenix, AZ870 mi1,642,323
Indianapolis, IN926 mi885,860
Jacksonville, FL959 mi977,670
Chicago, IL974 mi2,711,226
Charlotte, NC1,039 mi903,844
Columbus, OH1,067 mi914,802
San Diego, CA1,153 mi1,389,526
Los Angeles, CA1,233 mi3,857,263
Philadelphia, PA1,437 mi1,579,706
San Jose, CA1,459 mi990,138
New York, NY1,512 mi8,483,844
San Francisco, CA1,530 mi830,235
Seattle, WA1,769 mi754,195

Nearby cities with open jobs (within 120 miles)

Sort:
City ⇅Straight-line distance ⇅Open jobs ⇅
Lockhart, TX29 mi22
Cibolo, TX57 mi1
Converse, TX64 mi1
San Antonio, TX74 mi179
Lakehills, TX85 mi1

The employer

Apple is the employer in this listing. See all its open jobs here →

Company description (from The Muse): Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

size: Large Size; industries: Consumer Goods & Services, Information Technology, Software, Technology; locations on The Muse: Cupertino, CA.

It is among the 200 largest US-headquartered employers in our list, with about 166,000 employees worldwide (year not stated). Company page with headquarters, state economy and official links →

Official links for Apple

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

The employer's profile on The Muse →

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

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FAQ

What is the Senior Cloud Infrastructure and AI Efficiency Engineer job at Apple?

A senior level role in technology (data, analytics and ai) listed 20 days ago. The full description is on this page and on The Muse.

Where is this job?

Austin, TX.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in Austin is $1,729 a month and median household income $93,658 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-20 (20 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in Texas.

Sources and terms

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

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