Note: The job is a remote job and is open to candidates in USA. Quantori is seeking a Senior Cloud DevOps Engineer to build and operate the infrastructure for an internal AI platform at a large pharmaceutical company. The role focuses on designing and automating AWS environments, maintaining CI/CD and deployment processes, ensuring production reliability and security, and supporting Python-based AI agents and backend services.
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
Skills
- 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
- 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
Benefits
- Remote or office work
- Flexible working hours
- Continuous education, mentoring, and professional development programs
- A team with excellent tech expertise
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