Added
8 days ago
Type
Full time
Salary
Salary not provided

Related skills

datadog docker terraform bash aws

πŸ“‹ Description

  • Support incident response as a shadow or secondary responder, using AI-driven detection
  • Build incident timelines from metrics, logs, traces, and deploy history, and document postmortems
  • Operate and monitor AI SRE sub-agents (incident summarization, monitor-gap detection, usage
  • Build and maintain Datadog monitors, dashboards, and SLO definitions as code using Terraform, and
  • Reduce alert noise with AI/ML-assisted detection (anomaly, outlier, forecast monitors, dynamic
  • Support the day-to-day reliability of AWS workloads (ECS/Fargate, EKS, Lambda, RDS/Aurora, ALB

🎯 Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 1–3 years of experience in SRE, DevOps, cloud infrastructure, platform, or production-support
  • Advanced English (oral and written).
  • Hands-on exposure to AWS (or an equivalent hyperscaler) across compute, networking, storage, and
  • Exposure to at least one observability platform (Datadog preferred; Grafana/Prometheus, New Relic
  • Foundational understanding of SLI, SLO, and error-budget concepts.

🎁 Benefits

  • Work Schedule: US shift presential at Guadalajara, Mexico.
  • Work Modality: Full-time contractor basis.
  • Competitive Salary Paid in USD.
  • Work Environment: Dynamic and collaborative.
  • Professional Growth: Hands-on learning in AI-driven SRE practices and opportunities for career
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