Kubernetes SRE – Remote & Flexible, Growth

AgileEngine, LLC.; Ciudad de Mendoza; Híbrido; ARS 181.747.000 - 242.329.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine, a software development company, is seeking a Site Reliability Engineer (Kubernetes) in Mendoza, Argentina. You will operate and improve a Kubernetes-based API platform across public and private clouds, focusing on automation, tooling, and incident management.

The role requires 4+ years of Kubernetes production experience, strong Linux command-line skills, and cloud experience with AWS or Azure.

Formación

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

Responsabilidades

• 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 reduces manual effort and improves 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.

Conocimientos

Kubernetes operations

Linux command line

Incident management

Troubleshooting complex systems

Herramientas

Kubernetes

Azure

AWS

Grafana

Prometheus

Loki

Tempo

Python

Java

Helm

Terraform

Descripción del empleo

AgileEngine, a software development company, is seeking a Site Reliability Engineer (Kubernetes) in Mendoza, Argentina. You will operate and improve a Kubernetes-based API platform across public and private clouds, focusing on automation, tooling, and incident management.

The role requires 4+ years of Kubernetes production experience, strong Linux command-line skills, and cloud experience with AWS or Azure.