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CI Systems Engineer - Results & Failure Analysis

Apple

CI Systems Engineer - Results & Failure Analysis

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Flexible work arrangements

Team events and activities

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

401(k) matching

Learning

Flexible Hours

Healthcare

Required Skills

React

PostgreSQL

JavaScript

CI Systems Engineer

  • Results & Failure Analysis

3 weeks ago• Cupertino, CA
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About Us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
Size: 10000+ employees

Industry: Technology, Information Technology, Software, Consumer Goods & Services

Apple's Software Developer Workflows team delivers fast, reliable CI systems that make Apple's software easier to develop and ship. We believe that streamlined development unlocks creativity, innovation, and potential for developers.

We're looking for a skilled CI Systems Engineer to join our team and help build the systems that enable Apple's OS engineers to understand, diagnose, and resolve build and test failures at scale.

We value diverse perspectives and unique skills. More than specific experience, we seek an engineer passionate about building great software, continuous learning, and solving complex technical problems.

Description:

In this role, you'll design and maintain infrastructure for collecting, processing, and analyzing massive volumes of CI results data. Your work will turn complex failure signals into actionable insights that accelerate development.

Success requires flexibility, proactivity, and thriving in a supportive environment with challenging problems. You'll need excellent judgment for timely technical decisions, ability to collaborate effectively on design discussions, and strong technical depth to make informed tradeoffs.

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In your role as a CI Systems Engineer, you will:","responsibilities":"Build scalable results storage architectures that efficiently handle Apple's massive CI workload, enabling fast retrieval and analysis of build and test results

Develop failure analysis systems that transform raw CI data into actionable insights, helping developers quickly diagnose root causes and understand test failure patterns

Optimize data structures and database design for fast storage and deduplication of build and test failures

Drive performance improvements and optimization initiatives for results storage and query latency to meet developer needs

Collaborate with OS engineering teams across platforms (iOS, macOS, etc.) to understand diagnostic needs and refine analysis capabilities

Implement observability and alerting for the CI results infrastructure itself, ensuring reliability and detecting systemic failure patterns

Share technical knowledge and best practices with team members on failure analysis, data systems design, and infrastructure challenges

Preferred Qualifications:

Deep expertise in data storage, retrieval, and analysis, including experience with relational and NoSQL databases

Excellent systems thinking for designing solutions that handle reliability and complex failure modes

Experience building data pipelines or working with distributed data processing frameworks

Problem-solving approach to failure analysis with ability to think about root cause analysis, diagnostics, and observability

Attention to detail and quality mindset regarding data integrity, consistency, and correctness

Experience with CI/CD failure analysis, test result aggregation, or build system diagnostics

Familiarity with failure root cause analysis (RCA), anomaly detection, or diagnostic tooling

Background working on large-scale data systems, observability platforms, or analytics infrastructure

Knowledge of iOS or macOS internals, development environments, and testing infrastructure

Familiarity with machine learning techniques applied to failure prediction or pattern detection

Minimum Qualifications:

BS in Computer Science or equivalent professional experience

2+ years of software engineering experience, preferably focused on CI infrastructure, data systems, or failure analysis

Proficiency in languages suited to systems and data work (Swift, Scala, Python, Go, C/C++, etc.)

Proven ability to work independently on complex problems and collaborate effectively on team initiatives

Strong communication skills to collaborate with diverse teams and translate complex failure data into developer-friendly insights

Demonstrated experience in designing or contributing to systems that handle scale, data integrity, and query performance

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 .

Client-provided location(s): Cupertino, CA

Job ID: apple-200628072-0836_rxr-660

Employment Type: OTHER

Posted: 2026-01-07T19:12:54
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Parental Benefits

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit