Job Description

Locations

• Cupertino, California, United States 95014

Salary

Skills Required

• continuous learningintermediate
• solving complex technical problemsintermediate
• design and maintain infrastructureintermediate
• collecting, processing, and analyzing massive volumes of CI results dataintermediate
• flexibilityintermediate
• proactivityintermediate
• excellent judgmentintermediate
• ability to collaborate effectivelyintermediate
• strong technical depthintermediate

Required Qualifications

• BS in Computer Science or equivalent professional experience (experience)
• 2+ years of software engineering experience, preferably focused on CI infrastructure, data systems, or failure analysis (experience, 2 years)
• Proficiency in languages suited to systems and data work (Swift, Scala, Python, Go, C/C++, etc.) (experience)
• Proven ability to work independently on complex problems and collaborate effectively on team initiatives (experience)
• Strong communication skills to collaborate with diverse teams and translate complex failure data into developer-friendly insights (experience)
• Demonstrated experience in designing or contributing to systems that handle scale, data integrity, and query performance (experience)

Preferred Qualifications

• Deep expertise in data storage, retrieval, and analysis, including experience with relational and NoSQL databases (experience)
• Excellent systems thinking for designing solutions that handle reliability and complex failure modes (experience)
• Experience building data pipelines or working with distributed data processing frameworks (experience)
• Problem-solving approach to failure analysis with ability to think about root cause analysis, diagnostics, and observability (experience)
• Attention to detail and quality mindset regarding data integrity, consistency, and correctness (experience)
• Experience with CI/CD failure analysis, test result aggregation, or build system diagnostics (experience)
• Familiarity with failure root cause analysis (RCA), anomaly detection, or diagnostic tooling (experience)
• Background working on large-scale data systems, observability platforms, or analytics infrastructure (experience)
• Knowledge of iOS or macOS internals, development environments, and testing infrastructure (experience)
• Familiarity with machine learning techniques applied to failure prediction or pattern detection (experience)

Responsibilities

• 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.
• In your role as a CI Systems Engineer, you will:
• 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

Tags & Categories