Lead SRE Engineer

Cloudsufi; Región Centro; Presencial; MXN 900.000 - 1.400.000; Jornada completa

Descripción de la vacante

Cloudsufi is seeking a Lead SRE Engineer to drive reliability across Guadalajara-based enterprise environments. The role requires hands-on expertise with observability platforms, incident management, and AWS/Kubernetes ecosystems.

You will mentor engineers and push for AI-enabled reliability improvements. Ideal candidates have 6–10 years of SRE/DevOps experience, proficiency with Terraform and monitoring tools, and a proven track record in incident RCA and postmortems.

Formación

• 6–10 years of experience in SRE/DevOps or related roles.
• Strong observability, monitoring, and incident management experience.
• Hands-on with APM platforms and log management tools.
• Experience with alerting, paging, and incident response processes.

Responsabilidades

• Lead SRE initiatives across enterprise production environments.
• Improve reliability, availability, scalability, and performance.
• Lead P1/P2 incident response, RCA, and postmortems.
• Define and improve SLI/SLO/Error Budget practices.
• Build observability through monitoring dashboards and alerts.
• Automate ops using Python/Bash and APIs.
• Manage IaC with Terraform.
• Support AWS cloud infrastructure including Kubernetes/EKS, ECS/Fargate, Lambda, RDS/Aurora, SQS/SNS.
• Mentor SRE/DevOps engineers and collaborate with teams.
• Contribute to AI-enabled reliability and AIOps initiatives.

Conocimientos

Observability/Monitoring

Distributed tracing

Dashboards & monitoring

Alerting/Incident Management

SRE/DevOps practices

Python/Bash scripting

Kubernetes/EKS familiarity

IaC with Terraform

AWS cloud infrastructure

AIOps awareness

Mentoring/leadership

Herramientas

Datadog

New Relic

Dynatrace

Grafana/Prometheus

Splunk/OpenSearch/ELK

CloudWatch

AppDynamics

PagerDuty

Grafana Alerting

Kubernetes

Terraform

Python

Descripción del empleo

Role: Lead SRE Engineer

Location: Guadalajara, Jalisco, Mexico

Experience: 6–10 years

Key Responsibilities

• Lead Site Reliability Engineering initiatives across enterprise production environments.
• Drive reliability, availability, scalability, and performance improvements.
• Lead P1/P2 incident response, RCA, and postmortems.
• Define and improve SLI, SLO, and Error Budget practices.
• Build and maintain observability, monitoring, dashboards, and alerts.
• Automate operational processes using Python/Bash and APIs.
• Manage Infrastructure as Code using Terraform.
• Support AWS cloud infrastructure, including Kubernetes/EKS, ECS/Fargate, Lambda, RDS/Aurora, SQS/SNS, and related services.
• Mentor SRE/DevOps engineers and collaborate with development, security, platform, and architecture teams.
• Contribute to AI-enabled reliability and AIOps initiatives.

Must-Have Experience

• Observability / Monitoring – Mandatory
• Hands‑on experience with Datadog or an equivalent APM, logging, and monitoring platform , such as New Relic, Dynatrace, Grafana/Prometheus, Splunk, ELK/OpenSearch, CloudWatch, or AppDynamics.
• Experience should include:
  • APM Metrics and logs
  • Distributed tracing
  • Dashboards and monitoring
  • Alerting Production troubleshooting
• Alerting / Incident Management – Mandatory
• Hands‑on experience with PagerDuty or an equivalent alerting/paging platform , such as Opsgenie, ServiceNow, Splunk On-Call, xMatters, or Grafana Alerting.
• Experience should include: