Kubernetes SRE Engineer - Flexible & Remote

AgileEngine, LLC.; Ciudad de Mendoza; Hybrid; ARS 184,752,000 - 246,336,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking an Infrastructure Engineer & SRE to operate and enhance a Kubernetes-based API platform across public and private cloud environments.

You will automate tooling, manage incidents, and onboard new clients while maintaining high-availability services. The role emphasizes strong Linux skills, hands-on Kubernetes ops, and experience with a major cloud provider (Azure/AWS), plus exposure to observability stacks like Grafana/Prometheus.

Qualifications

• 4+ years operating Kubernetes in production
• Strong Linux and command line fundamentals
• Debugging and troubleshooting complex systems from app to infra
• Experience with a public cloud provider (Azure or AWS)
• Upper-intermediate English level

Responsibilities

• Operate and maintain the Kubernetes-based platform across public and private clouds
• Work with observability tooling to ensure actionable alerts with up-to-date runbooks
• Manage incidents end-to-end including RCAs 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 up to date
• Proactively manage capacity to scale the platform with demand

Skills

Kubernetes operations

Linux CLI

Troubleshooting

Public cloud experience

Tools

Grafana

Prometheus

Terraform

Helm

Python

Java

Job description

AgileEngine, LLC. is seeking an Infrastructure Engineer & SRE to operate and enhance a Kubernetes-based API platform across public and private cloud environments.

You will automate tooling, manage incidents, and onboard new clients while maintaining high-availability services. The role emphasizes strong Linux skills, hands-on Kubernetes ops, and experience with a major cloud provider (Azure/AWS), plus exposure to observability stacks like Grafana/Prometheus.