Senior Cloud DevOps Engineer for AI Platform (Remote)

Quantori; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote or office work

Continued education

Mentoring and growth programs

Excellent tech team

Job summary

Quantori is seeking a Senior Cloud DevOps Engineer to own and scale an internal AI platform. You’ll design, automate, and run AWS environments, and collaborate with teams building Python services.

The role emphasizes security, reliability, and efficient deployment in a global, remote-friendly setting. You will lead Terraform-based infrastructure, Kubernetes deployments, and CI/CD pipelines while enabling AI agent workflows.

Qualifications

• 5+ years in DevOps/Cloud Engineering with ownership of production environments.
• Hands-on AWS and Terraform experience in large-scale environments.
• Experience with Kubernetes (preferably EKS), Docker and Helm.
• Proficient in CI/CD pipelines using GitHub Actions or GitLab CI.
• Strong Python skills for automation and tooling.
• Experience with SSO integrations (OIDC/SAML) such as Okta or Entra ID.
• Understanding AI agent infra concepts is a plus.

Responsibilities

• Design and run AWS infrastructure (VPC, IAM, EKS/ECS, S3, EventBridge) with Terraform across DEV/QA/Prod.
• Build and maintain CI/CD pipelines and standardized deployment processes for AI teams.
• Ensure reliability: scaling, backups, secrets management, monitoring, and alerting.
• Implement security best practices: network isolation, encryption, least-privilege, and SSO integration.
• Containerize and deploy Python-based AI agents and backend services; troubleshoot with the development team.
• Develop Python-based automation and internal tooling for infra management and deployment workflows.

Skills

AWS

Terraform

Kubernetes

Docker

Helm

CI/CD

Python

SSO (OIDC/SAML)

Okta

Entra ID

Tools

GitHub Actions

GitLab CI

Job description

Quantori is seeking a Senior Cloud DevOps Engineer to own and scale an internal AI platform. You’ll design, automate, and run AWS environments, and collaborate with teams building Python services.

The role emphasizes security, reliability, and efficient deployment in a global, remote-friendly setting. You will lead Terraform-based infrastructure, Kubernetes deployments, and CI/CD pipelines while enabling AI agent workflows.