We are looking for a Cloud & DevOps Intern to build the cloud-native environment that runs an existing enterprise knowledge platform powered by LLMs and RAG. The goal is to make the platform secure, scalable, reliable and cost-efficient in production.
The project involves building a solution capable of:
- Defining a cloud architecture adapted to LLM applications (networking, storage, managed services).
- Provisioning all infrastructure as code with Terraform.
- Containerizing the services and deploying them on managed Kubernetes, with automated CI/CD pipelines.
- Securing the platform with IAM, secrets management, encryption, policy as code and private access to LLM APIs.
- Scaling and monitoring the platform, and producing a cloud cost optimization report.
This internship provides hands-on experience in cloud architecture, Kubernetes, DevSecOps and LLMOps.
Estimated duration: 6 months (Final-year internship, PFE)
Technical Skills
- Hands-on experience with Azure or GCP (AWS is also welcome).
- Knowledge of Docker, Kubernetes and Terraform.
- Experience with CI/CD tools (GitHub Actions or Azure DevOps).
- Understanding of cloud IAM, networking and security.
Bonus Skills (Not Required but Appreciated)
- Policy as code (OPA Gatekeeper, Kyverno).
- LLM API load balancing and fallback (LiteLLM).
- Basic understanding of LLM and RAG architectures.
Tech Stack
- Cloud: Azure or GCP (AKS, GKE, EKS)
- Infrastructure as Code: Terraform
- Containers & CI/CD: Docker, Kubernetes, GitHub Actions or Azure DevOps
- Security: IAM, Key Vault or Secrets Manager, OPA Gatekeeper or Kyverno
- AI services & monitoring: Azure OpenAI or Vertex AI, LiteLLM, Azure Monitor or Cloud Monitoring
