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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Apple • Seattle, Washington, United States
Role & seniority
Stack / tools
iOS/macOS internals, system-level components
Programming: C, C++, Objective-C, Swift; Python for automation and data analysis
Debugging / triage: LLDB, Instruments, Xcode tools, Console, sysdiagnose
Data analysis: SQL, Pandas, Jupyter
Cloud/distributed: AWS, GCP; CI/CD; Jira/Radar/Bugzilla
Observability: Datadog, Splunk, ELK stack
Top 3 responsibilities
Serve as the initial triage line: investigate, categorize, formulate root-cause hypotheses, and communicate updates to leadership and engineering teams
Reduce manual triage effort by designing and implementing automation for debugging, data collection, and issue resolution
Debug across diverse elements (iOS/macOS/cloud components) to improve reliability and drive faster resolutions
Must-have skills
5+ years in software development, debugging, or triage engineering
Strong hands-on experience with iOS/macOS internals and system-level components
Proficiency in a C-family language (C, C++, Objective-C, Swift) and Python for automation
Experience analyzing complex software issues, crashes, and performance bottlenecks
Track record of automating manual workflows; proficiency with log analysis, crash reporting tools, and debuggers
Strong analytical, problem-solving, and cross-functional communication; BS or MS in relevant field
Nice-to-haves
Swift proficiency for native diagnostic tooling
Cloud platforms and distributed
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.