Senior Operations Engineer, Retail Store Operations & Support - Retail & Marcom Engineering

What you'll do

• Investigate and resolve complex production incidents across transactional retail systems, using logs, telemetry, observability platforms, and ML-driven insights.
• Build and extend GenAI agents and automation for incident detection, triage, and resolution; lead root cause analysis and process improvements.
• Partner with engineering, business stakeholders, and global support teams; participate in an on-call rotation, potentially including occasional non-standard hours and weekends.

What they ask for

• Bachelor's degree or higher in Computer Science, Information Technology, or a related field, or equivalent work experience.
• 5+ years supporting critical, customer-facing systems in a high-volume production environment.
• 3+ years hands-on experience with incident management platforms and issue tracking tools; 3+ years practical Splunk experience, including dashboards, SPL queries, and alert configuration.
• 3+ years performing structured root cause analysis using application logs, telemetry, distributed traces, and customer feedback in complex, multi-system environments.

Nice to have

• Experience building agentic workflows with language models, LLM-based automation, or AI-augmented operational tools.
• Experience with Python scripting, distributed systems, APIs, and microservices; networking, CI/CD, Tableau or Power BI, ITIL, or SAP retail data feeds.

Tools

ServiceNow, Jira, Splunk, SPL, Python, Tableau, Power BI, SAP

AI focus

Build and orchestrate GenAI agents, agentic workflows, and AI-augmented automation for incident detection, triage, investigation, and resolution; use ML-driven insights in root cause analysis.