AI-First Cloud DevOps Engineer

Qorali; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

Qorali is seeking a DevOps Engineer to build and maintain our cloud infrastructure and delivery platforms. You will collaborate with software engineers to create secure, scalable, automated environments and improve deployment processes.

The role emphasizes AI-assisted engineering, infrastructure automation, monitoring, and rapid incident response to support scalable software delivery.

Qualifications

• Experience designing and maintaining cloud infrastructure and deployment pipelines.
• Proficient with either GCP or AWS and modern cloud services.
• Hands-on with Docker, Git, and CI/CD tooling in production environments.
• Understanding of cloud-based data platforms and data workflows.
• Strong problem-solving and troubleshooting skills with a proactive mindset.

Responsibilities

• Design, build, and maintain cloud infrastructure and deployment environments
• Develop and improve CI/CD pipelines and automated release processes
• Support containerised and modular application architectures
• Implement infrastructure automation, monitoring, logging, and alerting
• Work closely with engineers to improve application performance, reliability, and scalability
• Apply security-first practices across infrastructure and deployment workflows
• Troubleshoot complex infrastructure and production issues
• Contribute to engineering standards, tooling, and DevOps best practices
• Stay current with emerging cloud, infrastructure, automation, and AI technologies

Skills

Cloud infrastructure

CI/CD and automation

AI-assisted engineering

Independent work

Proactive mindset

Tools

GCP/AWS

Docker

Git

CI/CD tooling

IaC (Terraform/CFN)

Job description

Qorali is seeking a DevOps Engineer to build and maintain our cloud infrastructure and delivery platforms. You will collaborate with software engineers to create secure, scalable, automated environments and improve deployment processes.

The role emphasizes AI-assisted engineering, infrastructure automation, monitoring, and rapid incident response to support scalable software delivery.