Remote DevOps Engineer — Kubernetes & GitOps Specialist

AgileEngine, LLC.; San Carlos de Bariloche; Presencial; ARS 1.800.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility - 100% remote

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine, LLC. seeks a DevOps Engineer to support Kubernetes operations, clear backlog tickets, and deploy components across a GitOps model.

You will work with GitLab and ArgoCD to manage deployments, automate tasks with Bash or similar scripting languages, and help upgrade clusters in a collaborative environment. Ideal candidates have 3–5 years in Kubernetes-related roles, strong GitOps experience, and familiarity with Helm, Prometheus, Grafana, Flux, or Docker.

Formación

• 3–5 years of experience as a Kubernetes Administrator, DevOps Engineer, SRE, or related roles.
• Experience with Kubernetes administration.
• Experience with Git and GitOps.
• Experience with ArgoCD.
• Familiarity with open-source Kubernetes tools (Helm, Prometheus, Grafana, Flux, or Docker).
• Experience with CI/CD pipelines.

Responsabilidades

• Support Kubernetes operational work by clearing backlog tickets, maintaining and upgrading clusters, and deploying open-source components.
• Refine processes for recognizing, notifying, and updating Kubernetes changes in collaboration with other teams.
• Use GitLab and ArgoCD for GitOps-based Kubernetes deployments and automate workflows using scripting languages.

Conocimientos

Kubernetes admin

GitOps

ArgoCD

CI/CD

Docker

Helm

Prometheus

Grafana

Herramientas

GitLab

ArgoCD

Kubernetes

Descripción del empleo

AgileEngine, LLC. seeks a DevOps Engineer to support Kubernetes operations, clear backlog tickets, and deploy components across a GitOps model.

You will work with GitLab and ArgoCD to manage deployments, automate tasks with Bash or similar scripting languages, and help upgrade clusters in a collaborative environment. Ideal candidates have 3–5 years in Kubernetes-related roles, strong GitOps experience, and familiarity with Helm, Prometheus, Grafana, Flux, or Docker.