Kubernetes Site Reliability Engineer — Remote & Flexible

AgileEngine, LLC.; Ciudad de México; Hybrid; MXN 1,846,000 - 2,770,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. seeks a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private clouds, focusing on automation, tooling, and incident management.

You will work with observability tools, manage incidents end-to-end, onboard new clients, and build automation to reduce manual effort while ensuring scalable performance. Ideal candidates have 4+ years of hands-on Kubernetes production experience, strong Linux fundamentals, and cloud experience with

Qualifications

• 4+ years of hands-on Kubernetes production experience.
• Strong Linux and command-line fundamentals.
• Experience with a public cloud provider (AWS or Azure).
• Ability to debug and troubleshoot complex systems end-to-end.

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

Linux

Debugging

Public cloud (AWS/Azure)

Tools

Grafana

Prometheus

Loki

Tempo

Terraform

Helm

Python

Java

Job description

AgileEngine, LLC. seeks a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private clouds, focusing on automation, tooling, and incident management.

You will work with observability tools, manage incidents end-to-end, onboard new clients, and build automation to reduce manual effort while ensuring scalable performance. Ideal candidates have 4+ years of hands-on Kubernetes production experience, strong Linux fundamentals, and cloud experience with