Site Reliability Engineer

Job Location:  Mexico City, Mexico 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.   We're   seeking   a curious and driven   Site Reliability Engineer   to join our Data & AI Platform Engineering team. In this role,   you'll   help keep our data and AI platforms running reliably, efficiently, and securely — platforms that power decisions across our global retail operations.   You'll   work alongside experienced SREs and engineers to   monitor   production systems, respond to incidents, reduce operational toil, and build the automation that makes our infrastructure more resilient. This is an excellent opportunity to grow your SRE craft in a fast-paced, collaborative environment on Google Cloud Platform, with exposure to multi-cloud technologies and modern data engineering.   About the Job   Reliability & Incident Response   Monitor production systems using   observability tooling   — dashboards, alerts, and logs — to detect and triage issues before they   impact   end users   Participate in   on-call rotations , respond to incidents following established runbooks, and escalate appropriately when needed   Contribute to   blameless post-mortems , documenting root   causes   and follow-up action items to prevent recurrence   Help   maintain   and improve   SLO dashboards and alerting thresholds   to ensure platform health is visible and measurable   Toil Reduction & Automation   Identify   repetitive manual tasks and build   automation to   eliminate   them , reducing toil for yourself and the broader team   Write and   maintain   scripts, tooling, and   CI/CD pipeline components   that improve deployment reliability and operational efficiency   Support   self-serve infrastructure initiatives   that allow engineering teams to safely provision and manage their own resources   Platform Operations & Cloud Infrastructure   Operate and   maintain   workloads running on   GCP   — including GKE, Cloud Run,   BigQuery , Pub/Sub, GCS, and Composer   Apply   Infrastructure-as-Code   practices (Terraform, Helm) to consistently and safely manage and version infrastructure changes   Support   multi-cloud awareness   across GCP and Azure, following team standards for consistency and security across environments   Adhere to   data security and governance   policies — IAM best practices, secrets management, encryption, and audit logging   Collaboration & Growth   Work closely with Data Engineering, AI Platform, and Software Engineering teams to ensure reliability is considered from design through deployment   Participate in   reliability reviews, design discussions, and team ceremonies , contributing ideas and raising operational concerns early   Engage with   AI and agentic platform workloads , gaining exposure to the operational patterns of LLM-based systems and data pipelines   Continuously develop your technical skills and SRE craft, supported by team knowledge-sharing, documentation, and hands-on experience   About You   Required Qualifications   Bachelor's degree   in Computer Science , Engineering, or related field (or equivalent practical experience)   6+ years of experience   in Site Reliability Engineering, DevOps, or Platform/Infrastructure Engineering in production environments   Hands-on experience with GCP services   — particularly GKE, Cloud Run,   BigQuery , Pub/Sub, and GCS   Working   proficiency   with   Infrastructure-as-Code   tools such as Terraform or Helm   Familiarity with   observability tooling   — metrics, logging, tracing, and alerting (e.g., Cloud Monitoring, Datadog, or Prometheus/Grafana)   Understanding of   SLO/SLI concepts   and how they relate to production reliability and on-call operations   Exposure to   data security fundamentals : IAM, encryption, secrets management, and network policies   Proficiency   in at least one scripting or systems language ( Python, Bash, or Go ) for automation and operational tooling   Strong communication   skills with the ability to clearly document incidents, runbooks, and technical processes   Technical Familiarity   Experience with   container orchestration   — Kubernetes or GKE — and the operational patterns around deploying and managing containerized workloads   Basic understanding of   CI/CD pipelines   and   GitOps   workflows ( ArgoCD , GitHub Actions, or similar)   Comfort working with   data platforms   — familiarity with batch or streaming data pipelines is a plus   Awareness of   multi-cloud concepts , particularly across GCP and Azure   Desirable Experience   Experience working in   retail, e-commerce, or consumer goods   environments   Familiarity with   Google's SRE principles   — error budgets, toil tracking, and production readiness reviews   Exposure to   AI or ML platform operations , including monitoring model serving infrastructure   Experience with   FinOps   or cloud cost visibility tooling   Why Join Us?   If   you're   an engineer who is passionate about reliability, loves solving operational problems, and wants to grow your SRE craft at a global iconic brand,   we'd   love to hear from you .   LOCATION Mexico, D.F., Mexico FULL TIME/PART TIME Full time Current LS&Co Employees, apply via your Workday account.