Remote LATAM Cloud DevOps Engineer – AI Infra & CI/CD

Azumo

Tandil

Remote

ARS 169,108,000 - 261,349,000

Full time

21 hours ago
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Benefits offered by this job

Remote-first culture
PTO
US holidays
AI training & certification
Mentored career development
Profit sharing
US dollar remuneration
Maternity coverage

Job summary

Azumo is seeking a Cloud DevOps Engineer to own production infrastructure for our AI workloads. The role covers clusters, deployment pipelines, and the monitoring that signals health, with a focus on reliability and cost efficiency.

You will work across production systems in a fully remote setting across Latin America, collaborating with AI engineers to ensure scalable, secure, and observable infrastructure that supports live workloads.

Qualifications

  • 5+ years of production infrastructure experience (DevOps/SRE) with Linux, networking, Git, and scripting (Bash and Python/Go).
  • Kubernetes in production, provisioning, upgrades and debugging.
  • IaC experience with Terraform or equivalent, with state and environment parity.
  • CI/CD pipelines built/maintained — GitHub Actions, GitLab, and container images.
  • Cloud deployment experience on AWS/Azure/GCP including managed Kubernetes and cost modeling.
  • Monitoring and incident response using Datadog/CloudWatch; drive root-cause analysis.
  • Security hardening of Linux, containers and Kubernetes.
  • Cost and capacity awareness; explain cluster costs and actions taken.
  • Active use of AI-assisted coding tools in real delivery work.
  • Strong written/spoken English (C1+).
  • Bachelor's degree or equivalent professional experience.

Responsibilities

  • Own production infrastructure: clusters, deployment pipelines and monitoring.
  • Build and maintain Kubernetes in production including provisioning and upgrades.
  • Develop Infrastructure as Code with Terraform for reproducibility.
  • Create reliable CI/CD pipelines and container images.
  • Ensure observability and fast incident response with root-cause analysis.
  • Work inside client environments when required, aligned to client workflows.

Skills

5+ years experience in DevOps/SRE
Kubernetes production expertise
Infrastructure as code (Terraform)
CI/CD pipelines (GitHub Actions, GitL
Cloud deployment (AWS/Azure/GCP)
Monitoring/Incident response
Security hardening
Cost and capacity awareness
AI-assisted coding tools (Claude Code,
English, C1+
Bachelor’s or equivalent

Education

Bachelor's degree in Computer Science or related field

Tools

Datadog
CloudWatch
Terraform
Kubernetes
GitHub Actions
GitLab
Docker
Istio
Helm
Kustomize
PostgreSQL
MongoDB

Job description

Azumo is seeking a Cloud DevOps Engineer to own production infrastructure for our AI workloads. The role covers clusters, deployment pipelines, and the monitoring that signals health, with a focus on reliability and cost efficiency.

You will work across production systems in a fully remote setting across Latin America, collaborating with AI engineers to ensure scalable, secure, and observable infrastructure that supports live workloads.

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