Site Reliability Engineer

3 months ago

Mexico City, MexicoSenior

Responsibilities

Monitor production systems using dashboards, alerts, logs, metrics, and tracing to detect and triage issues.
Participate in on-call rotations, respond to incidents using runbooks, and contribute to blameless post-mortems.
Maintain SLO dashboards and alerting thresholds and help improve production reliability.
Build scripts, tooling, and CI/CD pipeline components to reduce operational toil and improve deployment reliability.
Operate and maintain GCP workloads including GKE, Cloud Run, BigQuery, Pub/Sub, GCS, and Composer.
Manage infrastructure changes using Terraform and Helm and support self-service infrastructure initiatives.
Support multi-cloud standards across GCP and Azure.
Apply IAM, secrets management, encryption, network policy, and audit logging practices.
Collaborate with Data Engineering, AI Platform, and Software Engineering teams on reliability from design through deployment.
Participate in reliability reviews, design discussions, team ceremonies, and technical knowledge-sharing.

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
At least 6 years of production experience in Site Reliability Engineering, DevOps, or Platform/Infrastructure Engineering.
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 and metrics, logging, tracing, and alerting.
Understanding of SLO/SLI concepts, error budgets, toil tracking, and on-call operations.
Exposure to data security fundamentals including IAM, encryption, secrets management, and network policies.
Proficiency in at least one scripting or systems language: Python, Bash, or Go.
Experience with Kubernetes or GKE and containerized workload operations.
Basic understanding of CI/CD pipelines and GitOps workflows such as ArgoCD or GitHub Actions.
Familiarity with batch or streaming data pipelines and multi-cloud concepts across GCP and Azure.
Strong communication skills for documenting incidents, runbooks, and technical processes.
Preferred experience includes retail, e-commerce, or consumer goods; AI/ML platform operations; model-serving infrastructure monitoring; and FinOps or cloud cost visibility tooling.

Full-time position located in Mexico City, Mexico.
Team knowledge-sharing, documentation, and hands-on development opportunities are provided.

AzureBashDatadogGitHub ActionsGoGoogle BigQueryGoogle CloudGoogle Cloud PlatformGrafanaHelmKubernetesPrometheusPython Terraform

10,000+ employees