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Principal Full-Stack Engineer - Azure AI Search & Elasticsearch

Solvex Solutions — United Kingdom · Posted ~16 hours ago

Lead Hybrid

Skills

Elasticsearch Azure AI Search React Angular Vue.js TypeScript JavaScript Azure CI/CD Docker Kubernetes Terraform Generative AI RAG Lucene Azure Web Apps Azure Functions Azure Event Grid Azure Key Vault Azure API Management Azure Private Endpoints Azure DevOps GitHub Actions AKS Bicep LangChain LlamaIndex

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Summary ✨ AI‑Generated

A principal full-stack engineering role for an expert in enterprise search and cloud-native platforms. You will work across search architecture and performance, modern web interfaces, cloud services, CI/CD, containers, infrastructure as code, and generative AI/RAG solutions. The position suits an engineer with extensive production experience and strong technical leadership capability.

Highlights

Principal-level opportunity combining advanced search engineering, cloud architecture, modern frontend development, DevOps, and generative AI. The role offers broad technical ownership across scalable search infrastructure, RAG solutions, Kubernetes, infrastructure as code, and Azure services.

Description

Principal Full Stack Engineer – Azure AI Search & Elasticsearch Location: London, UK (Hybrid) Experience: 10+ years Key Responsibilities & Skills: Deep hands-on experience with Elasticsearch, including cluster architecture, index mapping, aggregations, Lucene, performance tuning and snapshot/restore.Strong production experience with Azure AI Search / Azure Cognitive Search, including indexers, custom skillsets, vector search and semantic ranking.Strong React, Angular or Vue.js experience with TypeScript/JavaScript.Good knowledge of the Azure ecosystem, including Azure Web Apps, Functions, Event Grid, Key Vault, API Management and Private Endpoints.Experience with Azure DevOps/GitHub Actions, Docker, Kubernetes/AKS and Terraform/Bicep.Experience building GenAI/RAG solutions, with technologies such as LangChain or LlamaIndex.Relevant Azure or Elastic certifications would be advantageous.