Cloud Ops Engineer II

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. Summary of the role: The Cloud Platform Analyst provides hands-on operational support for Levi’s Enterprise Cloud Services across Azure and Google Cloud. The role helps maintain secure, reliable, observable, and cost-effective cloud services while building foundational expertise in cloud engineering, automation, DevOps, and AI-enabled operations. This position works within established architectures, standards, and runbooks. It resolves defined operational issues, implements approved changes, contributes reusable automation, and escalates complex design or risk decisions to senior engineers. About the role: Monitor and support Azure and GCP compute, storage, networking, identity, container, database, and managed platform services; perform routine administration and approved changes. Respond to alerts, incidents, and service requests; troubleshoot using logs, metrics, traces, queries, and documented procedures; communicate status and escalate appropriately. Support 24x7 production services through a scheduled on-call rotation and participate in incident response, recovery, post-incident reviews, and corrective actions. Develop and maintain Infrastructure as Code and automation using Terraform, Ansible, PowerShell, Python, or equivalent tools, with source control, peer review, testing, and documentation. Operate and improve CI/CD and GitOps workflows using GitHub Actions, Azure DevOps, Jenkins, or equivalent platforms. Support containerized workloads and managed Kubernetes services such as AKS or GKE, including deployment, configuration, monitoring, and basic troubleshooting. Build and maintain observability dashboards, alerts, SLI/SLO measurements, runbooks, and automated remediation using cloud-native and enterprise monitoring tools. Apply DevSecOps practices by supporting IAM, secrets management, vulnerability remediation, policy as code, configuration compliance, and software supply-chain controls. Use FinOps reports and cloud billing data to maintain resource tags, identify waste, recommend rightsizing, and improve cost allocation. Use approved generative AI and AIOps tools to summarize telemetry, correlate events, draft queries or scripts, improve knowledge articles, and accelerate troubleshooting; validate outputs and protect confidential data. Contribute reusable modules, service templates, APIs, documentation, and self-service workflows for the internal developer platform. Collaborate with application, security, network, data, service-management, and vendor teams; keep operational records and knowledge current. About you: