AI Platform Engineer (Cloud & DevOps)

TL;DR

AI Platform Engineer (Cloud & DevOps): Designing, implementing, and managing scalable cloud infrastructure for AI-powered solutions in the biopharmaceutical and healthcare industries with an accent on cloud security, monitoring, and cost optimization. Focus on building and optimizing Kubernetes clusters and CI/CD pipelines to support rapid and reliable software delivery.

Location: Remote (Canada)

Company

hirify.global is helping build innovative AI-powered solutions that are transforming the biopharmaceutical and healthcare industries.

What you will do

• Design, implement, and manage scalable cloud infrastructure, primarily in AWS.
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Build, optimize, and maintain Kubernetes clusters for container orchestration and management of AI workloads.
• Design, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery.
• Collaborate with AI engineers, software developers, scientists, and product managers to deliver high-quality, production-ready AI solutions.
• Troubleshoot and resolve infrastructure and deployment issues efficiently to ensure high system availability and performance.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in platform engineering, DevOps, or cloud infrastructure roles.
• Strong hands-on expertise with AWS cloud services.
• Proficient in Kubernetes for container orchestration and cluster management.
• Experience writing and maintaining Infrastructure as Code (IaC) with Terraform.
• Solid background in designing, implementing, and maintaining CI/CD pipelines.

Nice to have

• Dynatrace experience.

Culture & Benefits

• Work in a collaborative, mission-driven environment.
• Opportunity to work with cutting-edge technologies.
• Contribute to team discussions, code reviews, and knowledge sharing to foster a culture of continuous learning and improvement.