Apple
Operations Engineer, Retail Store Operations & Support - Retail & Marcom Engineering
Austin, Texas · Full-time · Posted Jul 8, 2026
- Experience
- 2+ years supporting critical, customer-facing systems; 1+ years with incident management and issue tracking tools; 2+ years with Splunk; 2+ years performing structured root cause analysis.
- Education
- Bachelor's degree or higher in Computer Science, Information Technology, or a related field, or equivalent work experience.
About the job
Supports Apple Retail’s critical transactional systems and improves production incident detection, investigation, and resolution through engineering, automation, and GenAI tools.
What you'll do
- Troubleshoot and resolve production incidents across transactional systems, including Point Of Sale, Apple Financial Services, Carrier Services, Runner, and Catalog.
- Build and extend GenAI agents and automation for incident detection, triage, and resolution; conduct root cause analysis using logs, telemetry, and observability tools.
- Partner with engineering, SRE, business stakeholders, and globally distributed teams on service improvements, launches, and support operations.
What they ask for
- Bachelor's degree or higher in Computer Science, Information Technology, or a related field, or equivalent work experience.
- 2+ years supporting critical, customer-facing systems in a high-volume production environment.
- 1+ years of hands-on experience with incident management platforms and issue tracking tools.
- 2+ years of practical Splunk experience, plus 2+ years performing structured root cause analysis across complex, multi-system environments.
Nice to have
- Experience building agentic workflows with language models or AI-augmented operational tooling.
- Experience with scripting languages (Python preferred), distributed systems, APIs, microservices, and/or networking fundamentals.
Tools
ServiceNow, Jira, Splunk, SPL, Python, Tableau, Power BI, SAP
AI focus
Build and extend GenAI agents, agentic workflows, and automation to scale incident detection, triage, investigation, and resolution; use ML-driven insights for root cause analysis.
Model-written summary · the original posting is authoritative