Senior Cloud DevOps Engineer

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

We are looking for a Senior Cloud DevOps Engineer to join a team building an internal AI platform for a large pharmaceutical company. The platform lets the client's teams deploy and run AI agents in one secure, standardized environment. You will own the infrastructure: design, automate and run AWS environments, working alongside the development team that builds the platform's Python services.

Location:

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

Responsibilities:

• Design and run AWS infrastructure (VPC, IAM, EKS/ECS, S3, EventBridge) and manage it with Terraform across DEV, QA and Production environments
• Build and maintain CI/CD pipelines and a standardized deployment process for AI agent teams
• Keep the platform reliable in production: scaling, backups, secrets management, monitoring and alerting
• Put security best practices in place: network isolation, encryption, least-privilege access and SSO integration
• Containerize and deploy Python-based AI agents and backend services, and troubleshoot them in collaboration with the development team
• Develop Python-based automation and internal tooling for infrastructure management and deployment workflows

What we expect:

• 5+ years of experience in DevOps/Cloud Engineering, including ownership of production environments
• Strong hands-on experience with AWS and Terraform
• Experience with Kubernetes (preferably EKS), Docker and Helm
• Experience with CI/CD tools: GitHub Actions, GitLab CI or similar
• Strong Python skills: writing automation and tooling, and reading, debugging and supporting backend services
• Experience integrating applications with identity providers via SSO (OIDC/SAML), e.g., Okta or Microsoft Entra ID
• Understanding of AI agent architecture and its components (LLM APIs, vector databases, agent frameworks) from an infrastructure perspective
• Ability to work independently and communicate directly with client stakeholders

Nice to have:

• Familiarity with AI platforms and tools: AWS Bedrock, LangChain/LangGraph, vector databases (e.g., ChromaDB), Langfuse
• Experience with FastAPI
• Experience in pharma, life sciences or other regulated industries
• AWS certifications

We offer:

• Competitive compensation
• Remote or office work
• Continuous education, mentoring, and professional development programs
• A team with excellent tech expertise

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