Senior Kubernetes SRE – AI-Driven Cloud Platform (Remote)

Sovos; Ciudad de Mendoza; Hybrid; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

Mentorship

Tech Talks

Growth roadmap

Remote/Office options

Education budget

Job summary

AgileEngine 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, and onboard new clients while ensuring performance and reliability.

The role emphasizes hands-on Kubernetes ops, Linux fundamentals, and cloud experience (AWS or Azure), with opportunities to work on observability tools and automation in a growing, people-first organization.

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.

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

AWS

Azure

Grafana

Prometheus

Loki

Tempo

Python

Java

Helm

Terraform

Tools

Helm

Terraform

Grafana

Prometheus

Loki

Tempo

Job description

AgileEngine 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, and onboard new clients while ensuring performance and reliability.

The role emphasizes hands-on Kubernetes ops, Linux fundamentals, and cloud experience (AWS or Azure), with opportunities to work on observability tools and automation in a growing, people-first organization.