À propos de ce poste Engineer I,Systems Reliability Engineering chez 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 a Engineer I, Systems Reliability Engineering within the Digital Planning & Foundations organization, you will help ensure the reliability, availability, performance, security, and operational excellence of planning, allocation, forecasting, inventory, and supply chain technology platforms. You will partner with product, engineering, business, cloud, security, SAP, and external technology teams while driving automation, observability, DevSecOps, and AI-enabled operations.
About the Job
- Lead investigation and resolution of production incidents, application failures, integration issues, and service degradation events.
- Develop automation solutions using Python, PowerShell, APIs, and cloud-native technologies to improve operational efficiency and reduce manual effort.
- Build and maintain observability capabilities, including dashboards, alerting, service health monitoring, SLIs, SLOs, and reliability metrics.
- Support Azure services, enterprise integrations, Power Platform, Fabric, OneLake, and analytics capabilities that enable planning and allocation processes.
- Drive AI-enabled operations through intelligent alerting, anomaly detection, self-healing workflows, operational copilots, and agentic automation.
About You
- 5+ years of experience in Site Reliability Engineering, Production Support, Platform Engineering, DevOps, Cloud Operations, or Enterprise Application Support.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.
- Hands-on experience supporting enterprise applications hosted on Azure cloud platforms.
- Strong automation and scripting skills using Python, PowerShell, REST APIs, SQL, and modern observability tools.
- Experience with CI/CD, Azure DevOps, GitHub, Infrastructure as Code, and exposure to AIOps, Azure AI, Microsoft Fabric, or related technologies.
