Cloud SRE & Infrastructure Engineer — Remote/Flex

AgileEngine, LLC.; Metropolitana; Hybrid; COP 284,765,000 - 411,327,000; Full time

Benefits offered by this job

Professional growth

Competitive pay USD

Exciting projects

Flextime

Job summary

AgileEngine is seeking an Infrastructure Engineer & SRE to operate and improve a Kubernetes-based API platform across public and private cloud environments, emphasizing automation, tooling, and incident management. You will monitor with observability tooling, manage incidents end-to-end including root-cause analysis and post-incident reviews, and onboard new clients onto the platform.

Day-to-day work includes building automation, diagnostic tooling, capacity planning, and delivering process

Qualifications

• Hands-on Kubernetes in production (4+ years).
• Linux fundamentals and CLI proficiency.
• Experience with public cloud providers (Azure/AWS).
• Strong debugging across app to infra layers.
• Upper-intermediate English.

Responsibilities

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

Skills

Kubernetes

Linux

Troubleshooting

Cloud (Azure/AWS)

English (Upper-Intermediate)

Tools

Grafana

Prometheus

Loki

Tempo

Python

Java

Helm

Terraform

Job description

AgileEngine is seeking an Infrastructure Engineer & SRE to operate and improve a Kubernetes-based API platform across public and private cloud environments, emphasizing automation, tooling, and incident management. You will monitor with observability tooling, manage incidents end-to-end including root-cause analysis and post-incident reviews, and onboard new clients onto the platform.

Day-to-day work includes building automation, diagnostic tooling, capacity planning, and delivering process