Senior Cloud DevOps Engineer

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
• Flexible working hours
• Continuous education, mentoring, and professional development programs
• A team with excellent tech expertise