Operations Engineer, Retail Store Operations & Support

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 58 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $164k

$121k most similar roles pay here $207k

This listing doesn't post a salary. Most similar roles pay $130,293–$197,425.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Operations Engineer, Retail Store Operations & Support

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Operations Engineer, Retail Store Operations & Support - Retail & Marcom Engineering joins the Retail Engineering Operations & Support team to maintain systems powering online and physical retail environments. This role sits at the intersection of production support, SRE, and applied AI engineering, focusing on transactional systems like Point of Sale, Apple Financial Services, Carrier Services, Runner, and Catalog. You will build and extend GenAI agents, automation for incident detection, and screening tools while performing root cause analysis using application logs, telemetry, and observability platforms. Key technical requirements include experience with Splunk, Python scripting, and incident management tools like ServiceNow and Jira. The role involves managing complex production incidents, coordinating with distributed teams, and ensuring the reliability of high-impact systems that support global retail operations through advanced automation and operational intelligence in a fast-paced environment.

Skills

GenAI LLM Python Splunk SRE CI/CD Git Jira ServiceNow Tableau Power BI SAP Microservices APIs TCP/IP DNS HTTP/TLS ITIL Root Cause Analysis

What you'll do

Build and extend GenAI agents and automation tools to scale incident detection, triage, and resolution.
Investigate, debug, and resolve complex production incidents across critical transactional systems like Point of Sale and Apple Financial Services.
Lead root cause analysis using application logs, telemetry, observability platforms, and ML-driven insights.
Develop technical specifications and documentation for automation and process improvement initiatives.
Partner with engineering and business teams to improve product delivery and support strategies for new launches.
Coordinate with a globally distributed team of consultants to ensure consistent execution of support functions.
Participate in an on-call rotation to provide coverage for critical applications and services.

What we're looking for

Bachelor's degree or higher in Computer Science, Information Technology, or a related field, or equivalent work experience.
2+ years of experience 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 experience with Splunk for dashboard creation, SPL querying, and alert configuration.
2+ years of experience performing structured root cause analysis using logs, telemetry, and distributed traces in multi-system environments.
Experience building and orchestrating agentic workflows with LLM-based automation or AI-augmented operational tooling.
Proficiency in scripting languages like Python for log analysis and automating operational workflows.
Strong understanding of networking fundamentals including TCP/IP, DNS, HTTP/TLS, and load balancing.

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