Join the Apple Service Engineering (ASE) team and drive innovation that matters! The ASE team builds and provides systems and infrastructure that fuel Apple’s services. As part of this team, you will be responsible for building and integrating technologies that enhance people’s lives. We are also tasked with enabling Apple Intelligence and Private Cloud Compute in the cloud. We are seeking a highly skilled Senior Software Triage & Automation Engineer with a proven track record of developing technology that has made a significant impact.
Description
The ideal candidate possesses expertise in debugging, analyzing, and triaging complex issues across diverse stack elements, encompassing iOS, macOS, and cloud-based software components. This role necessitates a solid foundation in programming languages used for building these systems (such as C, C++, Objective-C, or Swift), complemented by proficient Python skills for automation and data analysis. These capabilities will facilitate the reduction of manual triaging effort and expedite issue resolution. The candidate will also demonstrate exceptional analytical abilities, communication skills, and a structured problem-solving approach. This role serves as the initial line of defense for incoming issues involving investigation, categorization, root-cause hypothesis generation, providing updates to leadership, and offering guidance to development teams. Concurrently, the candidate will design systems to automate these processes. By combining hands-on debugging with strategic automation, the candidate contributes to faster resolution and higher product reliability.
Minimum Qualifications
5+ years of professional experience in software development, debugging, or triage engineering.
Strong hands-on experience with iOS/macOS internals, frameworks, and system-level components.
Proficiency in at least one C-type programming language (C, C++, Objective-C, Swift).
Strong Python experience for building automation tools, data analysis pipelines, and scripting workflows.
Demonstrated ability to analyze complex software issues, crashes, and performance bottlenecks.
Track record of reducing manual work through strategic automation initiatives.
Experience working with log analysis tools, crash reporting frameworks, and debuggers (eg. LLDB, Instruments, Xcode tools, Console, sysdiagnose, etc.).
Strong analytical, problem-solving, and communication skills, with the ability to work cross-functionally.
Bachelors or Masters in Computer Science, Computer Engineering, or equivalent experience.
Preferred Qualifications
Swift proficiency preferred for creating native diagnostic tools and understanding modern iOS/macOS codebases.
Experience with cloud platforms (AWS, GCP) and distributed systems debugging.
Familiarity with CI/CD pipelines and issue-tracking systems (Jira, Radar, Bugzilla).
Experience with data analysis tools (SQL, Pandas, Jupyter) for identifying patterns in large bug datasets.
Knowledge of machine learning applications in DevOps/AIOps.
Experience with observability platforms (Datadog, Splunk, ELK stack).
Background in customer-facing technical support or incident management.
Eeo Content
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.
