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