SRE & Infrastructure Engineer: Kubernetes, Cloud & Automation

AgileEngine, LLC.

San Carlos de Bariloche

Remote

ARS 138,564,000 - 200,148,000

Full time

6 days ago
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Benefits offered by this job

Mentorship & TechTalks
USD-based pay
Fortune 500 projects
Flexible schedule (remote & office)

Job summary

AgileEngine is seeking an Infrastructure Engineer & SRE to operate and improve a Kubernetes-based API platform across public and private clouds. You will focus on automation, tooling, and incident management to ensure reliable delivery for Fortune 500 clients.

The role requires hands-on Kubernetes production experience, strong Linux skills, and proficiency with cloud providers such as Azure or AWS. You’ll work with observability tools and contribute to scalable, proactive operations.

Qualifications

  • 4+ years operating Kubernetes in production environments.
  • Strong Linux and command line fundamentals.
  • Confident debugging and troubleshooting across stack from app to infra.
  • Experience with public cloud providers, preferably Azure or AWS.

Responsibilities

  • Operate and maintain the Kubernetes-based platform across public and private clouds.
  • Leverage observability tooling for actionable alerts and runbooks.
  • Manage end-to-end incidents incl. RCAs and post-incident reviews.
  • Onboard and support new clients on the platform.
  • Build automation and diagnostic tooling to reduce manual effort.
  • Identify and deliver process improvements to enhance scalability.
  • Keep software and hardware up to date and support upgrades.
  • Proactively manage capacity to scale with demand.

Skills

Linux fundamentals
Troubleshooting
Incident management
On-call coordination

Tools

Kubernetes
Azure
AWS
Terraform
Helm

Job description

AgileEngine is seeking an Infrastructure Engineer & SRE to operate and improve a Kubernetes-based API platform across public and private clouds. You will focus on automation, tooling, and incident management to ensure reliable delivery for Fortune 500 clients.

The role requires hands-on Kubernetes production experience, strong Linux skills, and proficiency with cloud providers such as Azure or AWS. You’ll work with observability tools and contribute to scalable, proactive operations.

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