CI Systems Engineer (AI Failure Analysis), Developer Workflows

Apples Software Developer Workflows team delivers fast reliable CI systems that make Apples software easier to develop and ship. We believe that streamlined development unlocks creativity innovation and potential for looking for a skilled CI Systems Engineer to join our team and help build intelligent AI-assisted systems that enable Apples OS engineers to understand diagnose and resolve build and test failures at value diverse perspectives and unique skills. More than specific experience we seek an engineer passionate about building great software applying AI thoughtfully to real problems continuous learning and solving complex technical challenges.n

In this role you will design and maintain infrastructure for collecting processing and analyzing massive volumes of CI results data - and you will integrate AI capabilities that transform how developers interact with failure information. Your work will turn complex failure signals into actionable insights that accelerate development using AI to summarize failures separate genuine issues from distractions and help engineers focus on what needs requires flexibility proactivity and thriving in a supportive environment with challenging problems. Youll need excellent judgment for timely technical decisions ability to collaborate effectively on design discussions and strong technical depth to make informed tradeoffs about when and how AI can genuinely improve developer your role as a CI Systems Engineer you will work at the intersection of AI and developer tools shaping how thousands of engineers across Apple diagnose failures. Youll have the autonomy to evaluate new AI approaches influence infrastructure architecture and see your work directly reduce friction in Apples software development process.n

Develop AI-assisted failure analysis systems that transform raw CI data into actionable insights helping developers quickly diagnose root causes and understand test failure patternsnDesign and implement AI-powered triage workflows that intelligently summarize failures identify patterns across large result sets and distinguish signal from noisenBuild and integrate tools that give AI systems structured access to CI data enabling intelligent querying and analysisnOptimize data structures and database design for fast storage and deduplication of build and test failures ensuring AI systems have efficient access to the context they neednDrive performance improvements and optimization initiatives for results storage and query latency to meet developer needsnCollaborate with OS engineering teams across platforms (iOS macOS etc.) to understand diagnostic needs and refine AI-assisted analysis capabilitiesnImplement observability and alerting for the CI results infrastructure itself ensuring reliability and detecting systemic failure patternsnEvaluate and iterate on AI approaches measuring their effectiveness at reducing triage time and improving developer experiencenShare technical knowledge and best practices with team members on failure analysis AI integration patterns data systems design and infrastructure challengesn

BS in Computer Science or equivalent professional experiencen8 years of software engineering experience preferably 2 years focused on CI infrastructure data systems or failure analysisnExperience applying AI/ML or LLM-based approaches to software development workflows tooling or automationnProficiency in one or more languages suited to systems and data work (Swift Scala Python Go C/C etc.)nProven ability to work independently on complex problems and collaborate effectively on team initiativesnStrong communication skills to collaborate with diverse teams and translate complex failure data into developer-friendly insightsnDemonstrated experience in designing or contributing to systems that handle scale data integrity and query performancen

Experience building or integrating with AI agents using the latest-available tools such as Skills MCP Servers Plugins or LLM-powered toolingnProven experience integrating AI into developer workflows with measurable impact on engineering efficiency; code review testing debugging triage or productivity toolingnFamiliarity with machine learning techniques applied to failure correlation anomaly detection or pattern recognitionnDeep expertise in data storage retrieval and analysis including experience with relational and NoSQL databasesnExperience building data pipelines or working with distributed data processing frameworksnBackground working on large-scale data systems observability platforms or analytics infrastructurenExperience with CI/CD failure analysis test result aggregation or build system diagnostics including root cause analysis diagnostic tooling and observability practicesnKnowledge of iOS or macOS internals development environments build agents and testing infrastructuren