Sobre esta vaga de Engineer I,Systems Reliability Engineering na Levi Strauss & Co.
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We're a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.
Introduction
As an Engineer I, Systems Reliability Engineering, you will help ensure the stability, reliability, and continuous improvement of o9 Supply Planning capabilities across planning processes, data, integrations, and AI-enabled support automation. You will partner with business planners, IT teams, vendors, and cross-functional stakeholders to investigate issues, support planning execution, document solutions, and improve operational effectiveness. This role reports to the FGI and Supply Planning Support Lead.
About the Job
- 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 while providing clear impact assessments and escalation recommendations.
- Validate master data, transactional data, and integrations between o9 and connected enterprise systems, including SAP and related platforms.
- 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.
About You
- 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.
- Knowledge of supply planning processes including supply-demand matching, inventory management signals, capacity constraints, planning runs, and exception management.
- Hands-on experience supporting o9 Supply Planning, including workflows, planning views, scenarios, master data, integrations, and production issue diagnostics.
- Working knowledge of SQL, Python, R, or comparable data analysis tools, with exposure to AI-enabled support capabilities, automation, and operational monitoring.
