Systems Reliability Engineer I — AI-Driven Supply Planning

Levi Strauss & Co.; Ciudad de México; On-site; MXN 550,000 - 850,000; Full time

Job summary

Levi Strauss & Co. in Mexico City seeks an Engineer I, Systems Reliability Engineering to support o9 Supply Planning, data integrations, and AI-enabled automation, ensuring stability and continuous improvement across planning processes.

You will collaborate with planners, IT teams, vendors, and cross-functional partners, investigate issues, document solutions, and contribute to deployment and monitoring of production systems.

Qualifications

• 5+ years of experience in IT, application support, business analysis, solution delivery, or functional consulting for supply chain or enterprise applications.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Supply Chain, or a related field.

Responsibilities

• Support daily o9 Supply Planning operations including planning runs, workflow monitoring, solver outputs, exceptions, and user-reported issues.
• Investigate incidents, service requests, data issues, and recurring support questions with impact assessments and escalation recommendations.
• Validate master data, transactional data, and integrations between o9 and connected enterprise systems (including SAP).
• Prepare issue summaries, test evidence, root cause documentation, user guidance, knowledge articles, and support documentation.
• Contribute to AI-enabled support improvements such as knowledge search, ticket summarization, troubleshooting guidance, workflow automation, and self-service capabilities.

Skills

IT experience

Business analysis

Solution delivery

Education

Bachelors degree (CS/IS/Engineering)

Tools

SQL

Python

R

Job description

Levi Strauss & Co. in Mexico City seeks an Engineer I, Systems Reliability Engineering to support o9 Supply Planning, data integrations, and AI-enabled automation, ensuring stability and continuous improvement across planning processes.

You will collaborate with planners, IT teams, vendors, and cross-functional partners, investigate issues, document solutions, and contribute to deployment and monitoring of production systems.