DevOps Engineer

New
I
In All Media IncTechnology Consulting
Brazil / Argentina / Mexico / Chile / Costa Rica, Central Time (United States)Full-TimeMiddle
Salary not disclosed
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Job Details

Experience
6+ years, 7+ years
Required Skills
AWSPythonBashJenkinsKubernetesAzureGrafanaTerraformGitHub Actions

Requirements

  • 6+ years of experience in DevOps, Cloud Engineering, or Production Support (for Production Support track)
  • Solid understanding of Azure fundamentals (compute, networking, monitoring)
  • Kubernetes basics (AKS operations, logs, scaling)
  • Hands-on experience with monitoring tools (Azure Monitor, Grafana)
  • Proven experience with incident management and escalation processes
  • Basic scripting capabilities (Bash, PowerShell, or Python)
  • 7+ years of DevOps / Cloud experience (for Cloud Migration and AI/MLOps tracks)
  • Strong hands-on expertise across both Azure (AKS, networking, IAM, monitoring) and AWS (EC2, EKS, IAM, networking) (for Cloud Migration track)
  • Proven track record of executing real-world cloud migrations (for Cloud Migration track)
  • Experience with Infrastructure as Code (Terraform preferred) (for Cloud Migration and AI/MLOps tracks)
  • Experience with CI/CD pipelines (GitHub Actions, Jenkins)
  • Deep expertise in Azure (AKS, networking, compute, monitoring) (for AI/MLOps track)
  • Hands-on experience applying AI/LLMs to DevOps workflows (for AI/MLOps track)
  • Proven experience with automation/scripting (Python, Bash, PowerShell) (for AI/MLOps track)
  • IaC (Terraform, Bicep, ARM) (for AI/MLOps track)
  • Strong system design and architectural thinking (for AI/MLOps track)

Responsibilities

  • Design secure and highly available cloud architectures
  • Scale cloud architectures
  • Maintain secure and highly available cloud architectures
  • Manage cloud infrastructure (Production Support track)
  • Execute complex cloud migrations (Cloud Migration track)
  • Integrate cutting-edge AI and agentic workflows into DevOps practices (AI/MLOps track)
  • Work closely with Engineering, Product, and Platform teams
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