Full Stack Engineer

Solvex Solutions; Greater London; Híbrido; GBP 90 000 - 130 000; Tempo integral

Resumo da oferta

Solvex Solutions is seeking a Principal Full Stack Engineer to lead Azure AI Search and Elasticsearch initiatives in a London hybrid setup. You will own architecture for large-scale search, vector tooling and GenAI integrations, driving robust, scalable cloud-native solutions across Azure services, containerized deployments, and DevOps practices.

You will bring 10+ years of hands-on experience with Elasticsearch, Azure AI/Search, LangChain or LlamaIndex, and a track record of delivering

Qualificações

• 10+ years hands-on software engineering experience with large-scale search/AI platforms.
• Deep expertise with Elasticsearch including clusters, indexing, and performance tuning.
• Strong production experience with Azure AI Search / Cognitive Search, vector search and semantic ranking.

Responsabilidades

• Design, implement and optimize large-scale search and GenAI data pipelines on Azure and Elastic stacks.
• Lead architecture decisions for cloud components, security and scalable deployments.

Conhecimentos

Elasticsearch

Azure AI Search

Azure Cognitive Search

Vector search

Semantic ranking

GenAI

LangChain

LlamaIndex

Azure DevOps/GitHub Actions

CI/CD

Ferramentas

Docker

Kubernetes/AKS

Terraform

Bicep

GitHub Actions

Azure DevOps

API Management

Key Vault

Event Grid

Azure Web Apps

Functions

Private Endpoints

Descrição da oferta de emprego

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.
• 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.