Senior Operations Engineer, Retail Store Operations & Support

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 98 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $166k

$117k most similar roles pay here $214k

This listing doesn't post a salary. Most similar roles pay $137,000–$195,550.

Based on 240 similar postings.

Employer

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.

Most-posted roles

View all roles at Apple Inc

At a glance

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

Role Posting Log in to save

Senior Operations Engineer, Retail Store Operations & Support - Retail & Marcom Engineering joins the Retail Engineering Operations & Support team to maintain critical systems for over 500 retail stores and online platforms. This role sits at the intersection of production support, SRE, and applied AI engineering. You will own technical expertise across transactional systems including Point of Sale, Apple Financial Services, Carrier Services, Runner, and Catalog. Day-to-day responsibilities involve investigating complex incidents, performing root cause analysis using telemetry and logs, and building GenAI agents to automate detection and resolution. The role requires proficiency in Splunk, Python, and incident management tools like ServiceNow and Jira. You will also manage distributed systems, APIs, and microservices while ensuring high availability for retail operations. Key technical focus areas include networking fundamentals, CI/CD pipelines, and data validation between SAP and downstream retail systems.

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 Distributed Systems

What you'll do

Build and extend GenAI agents and automation to scale incident detection, triage, and resolution.
Resolve complex production incidents across critical systems like Point of Sale, Financial Services, and Carrier 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 24/7 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.
5+ years of experience supporting critical, customer-facing systems in a high-volume production environment.
3+ years of hands-on experience with incident management platforms and issue tracking tools.
3+ years of practical experience with Splunk for dashboard creation, SPL querying, and alert configuration.
3+ 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.

Save