Описание
Quantori is an international team building an internal AI platform for a large pharmaceutical company. The platform enables the client's teams to deploy and run AI agents in a secure, standardized environment.
Задачи
•Design and run AWS infrastructure across DEV, QA, and Production environments, managing it with Terraform
•Build and maintain CI/CD pipelines and a standardized deployment process for AI agent teams
•Keep the platform reliable in production through scaling, backups, secrets management, monitoring, and alerting
•Implement security best practices, including network isolation, encryption, least-privilege access, and SSO integration
•Containerize and deploy Python-based AI agents and backend services, and troubleshoot them with the development team
•Develop Python-based automation and internal tooling for infrastructure management and deployment workflows
Требования
•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 such as GitHub Actions, GitLab CI, or similar
•Strong Python skills for writing automation and tooling, and reading, debugging, and supporting backend services
•Experience integrating applications with identity providers via SSO (OIDC/SAML), such as Okta or Microsoft Entra ID
•Understanding of AI agent architecture and its components, including LLM APIs, vector databases, and 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 such as AWS Bedrock, LangChain/LangGraph, vector databases such as ChromaDB, and Langfuse; experience with FastAPI; experience in pharma, life sciences, or other regulated industries; AWS certifications.
Условия
•Competitive compensation
•Flexible working hours
•Continuous education, mentoring, and professional development programs
•A team with excellent tech expertise
