Site Reliability Engineer - Data & AI Platforms

About the role

Levi Strauss & Co. is looking for a Site Reliability Engineer to join its Data & AI Platform Engineering team in Mexico City. The role helps keep the data and AI platforms powering global retail operations reliable, efficient and secure, working alongside experienced SREs and engineers to monitor production systems, handle incidents, reduce operational toil and build automation. The work is on Google Cloud Platform, with exposure to multi-cloud technologies and modern data engineering.

Key responsibilities

• Monitor production systems with observability tooling (dashboards, alerts, logs) and take part in on-call rotations, responding to incidents and contributing to blameless post-mortems
• Maintain and improve SLO dashboards and alerting thresholds
• Build automation to remove repetitive manual tasks, write scripts and CI/CD pipeline components, and support self-serve infrastructure initiatives
• Operate and maintain GCP workloads (GKE, Cloud Run, BigQuery, Pub/Sub, GCS, Composer) and apply Infrastructure-as-Code with Terraform and Helm
• Support multi-cloud awareness across GCP and Azure, and follow data security and governance policies (IAM, secrets management, encryption, audit logging)
• Work with Data Engineering, AI Platform and Software Engineering teams, take part in reliability reviews, and gain exposure to AI and agentic platform workloads

Required profile

• Bachelor's degree in Computer Science, Engineering or a related field (or equivalent practical experience)
• 6+ years of experience in Site Reliability Engineering, DevOps or Platform/Infrastructure Engineering in production environments
• Strong communication skills and ability to document incidents, runbooks and technical processes

Required skills

• Hands-on experience with GCP services, especially GKE, Cloud Run, BigQuery, Pub/Sub and GCS
• Working proficiency with Terraform or Helm
• Familiarity with observability tooling (Cloud Monitoring, Datadog, Prometheus/Grafana) and SLO/SLI concepts
• At least one scripting or systems language (Python, Bash or Go)
• Container orchestration (Kubernetes or GKE), basic CI/CD and GitOps knowledge, and multi-cloud awareness
• Desirable: retail/e-commerce experience, Google SRE principles, AI/ML platform operations, FinOps