Kubernetes Site Reliability Engineer — Remote & Flexible

AgileEngine, LLC.; Xico; Hybrid; MXN 2,242,000 - 3,363,000; Full time

Benefits offered by this job

Professional growth

USD-based pay

Exciting projects

Flextime

Job summary

AgileEngine in Veracruz, Mexico is seeking a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private clouds. You will automate tooling, 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 production Kubernetes experience, strong Linux, and hands-on cloud experience with Azure or AWS; familiarity with Grafana/Prometheus is a plus.

Qualifications

• 4+ years of hands-on experience operating Kubernetes in production.
• Strong Linux and command line fundamentals.
• Experience debugging and troubleshooting complex systems, from app to infra.

Responsibilities

• Operate and maintain the Kubernetes-based platform across cloud environments.
• Work with observability tooling to ensure actionable alerts and up-to-date runbooks.
• Manage incidents end-to-end including root-cause analysis and post-incident reviews.
• Onboard and support new clients onto the platform.
• Build automation and diagnostic tooling to reduce manual effort and improve performance.
• Identify and deliver process improvements.
• Support software and hardware upgrades and keep components current.
• Proactively manage capacity to scale the platform with demand.

Skills

Kubernetes

Linux

Troubleshooting

Incident management

Public cloud (Azure/AWS)

Service Mesh

CI/CD

Tools

Grafana

Prometheus

Loki

Tempo

Python

Java

Terraform

Helm

Job description

AgileEngine in Veracruz, Mexico is seeking a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private clouds. You will automate tooling, 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 production Kubernetes experience, strong Linux, and hands-on cloud experience with Azure or AWS; familiarity with Grafana/Prometheus is a plus.