Remote Kubernetes SRE — Scale & Automate Platform

AgileEngine, LLC.; México; Remote; MXN 900,000 - 1,300,000; Full time

Job summary

AgileEngine, LLC. is seeking a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private clouds. You will implement observability, runbooks, and automation, maintaining high availability and performance.

The role offers 100% remote work with flexible hours and collaboration with global teams. Ideal candidates have 4+ years of hands-on Kubernetes in production, strong Linux skills, and experience with AWS or Azure, plus upper-intermediate English.

Qualifications

• 4+ years of hands-on experience operating Kubernetes in production.
• Strong Linux and command line fundamentals.
• Experience with a public cloud provider, preferably Azure or AWS.
• Upper-intermediate English.

Responsibilities

• Operate and maintain the Kubernetes based platform across public and private cloud environments.
• Work with observability tooling to ensure alerts are actionable through up-to-date runbooks and documentation.
• Manage incidents from end-to-end, including incident response, root cause analysis, and post incident reviews.
• Onboard and support new clients onto the platform.
• Build automation and diagnostic tooling that cuts manual effort and evaluates performance.
• Identify and deliver process improvements.
• Support software and hardware upgrades and keep components up to date.
• Proactively manage capacity so the platform scales with demand.

Skills

Kubernetes in production

Linux fundamentals

Troubleshooting complex systems

Azure/AWS experience

Tools

Grafana

Prometheus

Loki

Tempo

Terraform

Helm

Job description

AgileEngine, LLC. is seeking a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private clouds. You will implement observability, runbooks, and automation, maintaining high availability and performance.

The role offers 100% remote work with flexible hours and collaboration with global teams. Ideal candidates have 4+ years of hands-on Kubernetes in production, strong Linux skills, and experience with AWS or Azure, plus upper-intermediate English.