Senior Kubernetes SRE - AWS, Automation & Observability

Agileengine, Llc.; Buenos Aires; Hybrid; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

USD-based pay

Flextime

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 own automation, tooling, and incident management while collaborating with teams to deliver reliable services.

Ideal candidates bring 4+ years of hands-on Kubernetes production experience, Linux proficiency, and a track record of debugging complex systems. Remote/flextime options and USD-based compensation are offered.

Qualifications

• 4+ years of hands-on experience operating Kubernetes in production.
• Strong Linux and command line fundamentals.
• Confident debugging and troubleshooting complex systems, from the application layer through to lower-level infrastructure.
• Experience working 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

Debugging

Cloud exposure

Tools

Helm

Terraform

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 own automation, tooling, and incident management while collaborating with teams to deliver reliable services.

Ideal candidates bring 4+ years of hands-on Kubernetes production experience, Linux proficiency, and a track record of debugging complex systems. Remote/flextime options and USD-based compensation are offered.