database integration. AI: LangChain, Retrieval-Augmented Generation (RAG), MCP servers (as consumer and developer), and prompt engineering for LLM optimization. Exposure to popular libraries and frameworks (Apache Commons, Guava, Swagger, TestContainers). Architecture & Platforms: Skilled in designing and deploying distributed systems on cloud hyperscalers (AWS, GCP). Familiarity with containerization (Docker), CI/CD pipelines, DevOps practices, and Infrastructure More ❯
database integration. AI: LangChain, Retrieval-Augmented Generation (RAG), MCP servers (as consumer and developer), and prompt engineering for LLM optimization. Exposure to popular libraries and frameworks (Apache Commons, Guava, Swagger, TestContainers). Architecture & Platforms:Skilled in designing and deploying distributed systems on cloud hyperscalers (AWS, GCP). Familiarity with containerization (Docker), CI/CD pipelines, DevOps practices, and Infrastructure More ❯
database integration. AI: LangChain, Retrieval-Augmented Generation (RAG), MCP servers (as consumer and developer), and prompt engineering for LLM optimization. Exposure to popular libraries and frameworks (Apache Commons, Guava, Swagger, TestContainers). Architecture & Platforms: Skilled in designing and deploying distributed systems on cloud hyperscalers (AWS, GCP). Familiarity with containerization (Docker), CI/CD pipelines, DevOps practices, and Infrastructure More ❯
Docker, OpenShift, Kubernetes); web UI development (React). Must understand Infrastructure as a Code (Terraform) Integration - Expert experience with integration techniques, including real-time messaging (AMQ), API design (JSON, Swagger), and batch techniques. Infrastructure and Operational - Familiarity with DevOps practices, including CI/CD, automated deployments via Ansible, GIT Repositories. cloud infrastructure offerings, Grid Computing elasticity, and cost optimization. More ❯
