DevOps Engineer

About the role

We are looking for a DevOps Engineer to design, build and operate cloud infrastructure that supports the development, fine‑tuning and serving of Generative AI models. The role focuses on creating scalable, secure and cost‑effective environments for AI orchestration and retrieval‑augmented generation pipelines.

Key responsibilities

• Design and manage cloud infrastructure on AWS, Azure or GCP for hosting AI workloads.
• Implement and maintain AI orchestration frameworks such as LangChain, LlamaIndex and Semantic Kernel.
• Optimize vector database solutions (Pinecone, Milvus, Qdrant, pgvector/PostgreSQL) for RAG pipelines.
• Develop cost‑optimization strategies for GPU/TPU intensive workloads.
• Orchestrate containerized applications using Docker and Kubernetes.
• Automate infrastructure provisioning with Terraform, OpenTofu or CloudFormation.
• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI or Jenkins.

Required profile

• Strong experience with cloud platforms (AWS, Azure, GCP).
• Hands‑on expertise in container orchestration and infrastructure as code.
• Familiarity with AI model deployment and vector database technologies.
• Ability to implement cost‑effective compute solutions.

Required skills

• AWS, Azure, GCP
• Docker, Kubernetes
• Terraform, OpenTofu, CloudFormation
• GitHub Actions, GitLab CI, Jenkins
• LangChain, LlamaIndex, Semantic Kernel
• Pinecone, Milvus, Qdrant, pgvector, PostgreSQL
• GPU, TPU