Job Location: Mexico City, Mexico
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger.We’rea company of people who like to forge our own path and leave the world better than we found it. Whobelievethat what makes us different makes usstronger.Soadd your voice. Make an impact. Find your fit — and your future.
We'reseekinga curious and driven Site Reliability Engineer to join our Data & AI Platform Engineering team. In this role,you'llhelp keep our data and AI platforms running reliably, efficiently, and securely — platforms that power decisions across our general retail operations.
You'llwork alongside experienced SREs and engineers tomonitorproduction 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
Monitor production systems using observability tooling — dashboards, alerts, and logs — to detect and triage issues before theyimpactend users

Participate in on-call rotations , respond to incidents following established runbooks, and escalate appropriately when needed

Contribute to blameless post-mortems , documenting rootcausesand follow-up action items to prevent recurrence

Helpmaintainand improve SLO dashboards and alerting thresholds to ensure platform health is visible and measurable

Identifyrepetitive manual tasks and build automation toeliminatethem , reducing toil for yourself and the broader team

Write andmaintainscripts, 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

Operate andmaintainworkloads 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

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
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

Workingproficiencywith 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

Proficiencyin at least one scripting or systems language ( Python, Bash, or Go ) for automation and operational tooling

Strong communicationskills with the ability to clearly document incidents, runbooks, and technical processes

Experience with container orchestration — Kubernetes or GKE — and the operational patterns around deploying and managing containerized workloads

Basic understanding of CI/CD pipelines andGitOpsworkflows (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

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?
Ifyou'rean engineer who is passionate about reliability, loves solving operational problems, and wants to grow your SRE craft at a global iconic brand, we'dlove to hear from you .
LOCATION

Mexico, D.F., Mexico FULL TIME/PART TIME

Full time

📌 Site Reliability Engineer (Ciudad de México)
🏢 Levi Strauss
📍 Ciudad de México