Levi Strauss & Co. logo

Cloud Ops Engineer II

Levi Strauss & Co.
NewPosted today

LOCATION

GCC Office · Onsite

EXPERIENCE

4 - 6 Years

TYPE

FullTime

SKILLS REQUIRED

Infrastructure as CodeIncident responseObservabilityLinux System AdministrationTerraform

Job description

Overview

Provides hands-on operational support for Levi's Enterprise Cloud Services across Azure and Google Cloud, maintaining secure, reliable, observable and cost-effective services while building foundational cloud engineering, automation, DevOps and AI-enabled operations skills.

What you'll do

  • 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.

What you'll need

  • Bachelor's degree in computer science, information technology, engineering or a related field, or equivalent practical experience.
  • Typically 4-6 years of relevant experience supporting cloud infrastructure, production operations, systems administration, DevOps or site reliability activities.
  • Hands-on experience with Azure or Google Cloud.
  • Working knowledge of cloud compute, storage, networking, load balancing, DNS, IAM, secrets, backup, resilience and disaster-recovery concepts.
  • Practical Linux or Windows administration and foundational networking troubleshooting.
  • Experience with Git and at least two of the following: Terraform, Ansible, PowerShell, Python, Bash, GitHub Actions, Azure DevOps, Jenkins or equivalent tools.
  • Familiarity with containers and Kubernetes fundamentals.
  • Familiarity with observability concepts and tools for logs, metrics, traces, dashboards, alerting and service-level objectives.
  • Foundational DevSecOps knowledge, including least privilege, secure configuration, vulnerability management, policy as code, secrets management and software supply-chain security.
  • Foundational FinOps knowledge, including tagging, allocation, budgets, rightsizing, utilization and cost anomaly review.
  • Ability to query, organize, visualize and explain operational data using tools such as Kusto Query Language, cloud logging queries, SQL, Power BI or spreadsheets.
  • Practical understanding of generative AI and AIOps concepts, including prompt formulation, retrieval-grounded responses, anomaly detection, alert correlation and AI-assisted automation.
  • Ability to evaluate AI output for accuracy, security, privacy, bias and operational risk; use only approved tools and maintain human oversight.
  • Communicates clearly in written and spoken English with technical and nontechnical stakeholders.
  • Collaborates with Cloud Platform Engineering, application teams, cybersecurity, networking, data, service management, vendors and managed-service partners.
  • Prepares concise incident updates, technical documentation, dashboards, recommendations and demonstrations.

Nice to have

  • Associate-level Azure or Google Cloud certification.
  • Exposure to the other cloud platform (Azure or Google Cloud).
  • AKS or GKE experience.
  • Terraform, Kubernetes, Linux, ITIL, security or FinOps certification.

Details

  • Location: Bengaluru, India (GCC Office, ITC Green Center).
  • Full-time position.
  • Global responsibility supporting Enterprise Platform Services.
  • Participation in a scheduled on-call rotation for 24x7 production services is required.
  • Individual contributor role working independently within established standards, architectures, security controls and change procedures.

Read the full description and apply on the company’s own careers page.

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Cloud Ops Engineer II