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Cloud DevOps Engineer (AWS / AI Focus)

Roles & Responsibilities

  • Strong experience with AWS core services (EC2, VPC, S3) and cloud infrastructure design
  • Hands-on experience with Infrastructure as Code (Terraform) and CI/CD automation
  • Experience with AI/ML tools and AWS AI services (Bedrock, Agent Core, Neptune) and familiarity with AI-assisted development tools (GitHub Copilot, Claude)
  • Programming proficiency in Python (highly preferred) and Golang; Node.js is a plus

Requirements:

  • Design, build, and maintain scalable AWS cloud infrastructure
  • Implement and manage Infrastructure as Code (IaC) using Terraform and develop CI/CD pipelines, including self-healing systems
  • Support internal AI platform initiatives and data engineering projects, including ETL processes and managed Airflow environments
  • Collaborate with engineering teams on platform reliability and performance; work in a highly technical, heads-down capacity

Job description


Role: Cloud DevOps Engineer (AWS / AI Focus)
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: Long Term
Work Schedule: 8 hours/day (Mon-Fri)
Location: 100% Remote (Candidates can work from anywhere in Canada, Costa Rica, Brazil OR Mexico)

Overview

We are seeking a highly skilled Cloud DevOps Engineer to join our team in a backfill capacity due to a recent departure. This role will support critical infrastructure and emerging AI platform initiatives, with a strong focus on hands-on engineering and automation.

Key Responsibilities

  • Design, build, and maintain scalable cloud infrastructure in AWS
  • Support internal AI platform initiatives and data engineering projects
  • Implement and manage Infrastructure as Code (IaC) using Terraform
  • Develop and maintain automation, CI/CD pipelines, and self-healing systems
  • Collaborate with engineering teams on platform reliability and performance
  • Support data workflows including ETL processes and managed Airflow environments
  • Work in a highly technical, heads-down capacity (minimal business-facing interaction)

Required Technical Skills

Cloud & Infrastructure

Strong experience with AWS core services:
    • EC2
    • VPC
    • S3
Hands-on experience with Infrastructure as Code (Terraform required)

AI / Emerging Technologies

Experience with AWS AI services such as:
    • Bedrock
    • Agent Core
    • Neptune
Exposure to AI-assisted development tools (e.g., GitHub Copilot, Claude)

Programming

Proficiency in:
    • Python (highly preferred)
    • Golang
    • Node.js (nice to have)

DevOps Practices

  • CI/CD pipeline development and automation
  • Cloud monitoring, reliability, and self-healing systems
  • Strong understanding of modern DevOps and platform engineering practices

Preferred Qualifications

  • Experience supporting AI/ML platforms or data engineering environments
  • Familiarity with ETL pipelines and managed Airflow
  • Ability to work effectively in a distributed/remote team environment
  • Strong problem-solving and independent execution skills

Team & Reporting Structure

  • Reports into Engineering leadership (recently realigned under Radica)
  • Works closely with DevOps team members and engineering stakeholders
  • Collaborative environment with established DevOps team members

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