Senior Kubernetes SRE - Cloud Reliability & Automation

Strategic Staffing Solutions; Buenos Aires; Hybrid; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Site Reliability Engineer (Kubernetes) to operate and improve a Kubernetes-based API platform across public and private clouds. You will automate tooling, manage incidents, onboard new clients, and drive capacity planning to scale with demand.

Must have 4+ years Kubernetes in production, strong Linux fundamentals, and experience with Azure or AWS. There is flexibility for remote work and a hybrid office option, with competitive USD-based pay and growth opportunities.

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 CLI

Incident management

Public cloud

Tools

Grafana

Prometheus

Loki

Tempo

Python

Java

Helm

Terraform

CI/CD

Job description

AgileEngine is seeking a Site Reliability Engineer (Kubernetes) to operate and improve a Kubernetes-based API platform across public and private clouds. You will automate tooling, manage incidents, onboard new clients, and drive capacity planning to scale with demand.

Must have 4+ years Kubernetes in production, strong Linux fundamentals, and experience with Azure or AWS. There is flexibility for remote work and a hybrid office option, with competitive USD-based pay and growth opportunities.