Kubernetes SRE — Remote, Growth-Driven Platform Reliability

Chainlink Labs

Rosario

Hybrid

ARS 151,455,000 - 227,183,000

Full time

5 days ago
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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 cloud environments. You will focus on automation, tooling, and incident management to ensure reliability and performance.

The role requires 4+ years operating Kubernetes in production, strong Linux skills, and experience with cloud providers (Azure/AWS). Nice-to-haves include Grafana/Prometheus/Loki/Tempo, Helm, Terraform, and scripting in Python.

Qualifications

  • 4+ years hands-on experience operating Kubernetes in production.
  • Experience with Linux command line and troubleshooting.
  • Experience with a public cloud provider (Azure or AWS).
  • Familiarity with observability tooling is a plus.

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 from end-to-end, including root cause analysis 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 for reliability and scaling.
  • Support software and hardware upgrades and keep components up to date.

Skills

Kubernetes ops
Linux fundamentals
Cloud experience (Azure/AWS)
Python

Tools

Grafana
Prometheus
Loki
Tempo
Helm
Terraform

Job description

AgileEngine is seeking a Site Reliability Engineer (Kubernetes) to operate and improve a Kubernetes-based API platform across public and private cloud environments. You will focus on automation, tooling, and incident management to ensure reliability and performance.

The role requires 4+ years operating Kubernetes in production, strong Linux skills, and experience with cloud providers (Azure/AWS). Nice-to-haves include Grafana/Prometheus/Loki/Tempo, Helm, Terraform, and scripting in Python.

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