Kubernetes SRE & Infra Engineer — Flexible Hours & Cloud

AgileEngine, LLC.

San Miguel de Tucumán

Hybrid

ARS 138,564,000 - 230,940,000

Full time

6 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay with budgets
Exciting projects
Flextime

Job summary

AgileEngine, LLC. is seeking an Infrastructure Engineer & SRE to operate and improve a Kubernetes-based API platform across public and private cloud environments. You will implement automation, tooling, and incident management to ensure reliability.

Ideal candidates have 4+ years in production Kubernetes, strong Linux skills, and experience with Azure or AWS. Nice-to-haves include Grafana/Prometheus, Terraform/Helm, and CI/CD tooling. Flexible with remote and office options.

Qualifications

  • 4+ years operating Kubernetes in production, ideally with service mesh.
  • Strong Linux/CLI fundamentals and troubleshooting skills.
  • Experience with a public cloud provider (Azure or AWS).
  • Ability to debug complex systems from app to infrastructure.

Responsibilities

  • Operate and maintain the Kubernetes-based platform across cloud environments.
  • Leverage observability tooling and up-to-date runbooks for alerts.
  • Manage end-to-end incident response, RCA, and post-incident reviews.
  • Onboard and support new clients on the platform.
  • Build automation and tooling to reduce manual effort and improve performance.
  • Identify and implement process improvements.
  • Support hardware and software upgrades and maintain current components.
  • Proactively manage capacity to scale with demand.

Skills

Kubernetes
Linux fundamentals
Debugging complex systems
Public cloud experience

Tools

Grafana
Prometheus
Terraform
Helm
CI/CD tooling

Job description

AgileEngine, LLC. is seeking an Infrastructure Engineer & SRE to operate and improve a Kubernetes-based API platform across public and private cloud environments. You will implement automation, tooling, and incident management to ensure reliability.

Ideal candidates have 4+ years in production Kubernetes, strong Linux skills, and experience with Azure or AWS. Nice-to-haves include Grafana/Prometheus, Terraform/Helm, and CI/CD tooling. Flexible with remote and office options.

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