Lead Elasticsearch Architect: Core Search Infra

United States Digital Space LLC

United Kingdom

Hybrid

GBP 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Health coverage
Flexible schedules
Generous vacation days
Donation matching
Volunteer hours

Job summary

United States Digital Space LLC is seeking a Principal Software Engineer to join our Elasticsearch - Search Infra team. You will define and lead the evolution of core search, indexing, and retrieval capabilities across a globally distributed engineering group.

You will mentor engineers, drive a long-term technical roadmap, and contribute hands-on expertise with Elasticsearch, Lucene, and Solr while collaborating with product teams to deliver scalable search infrastructure.

Qualifications

  • Experience leading technical projects in search infrastructure and distributed systems.
  • Mentoring expert engineers and guiding junior teammates.
  • Defining a long-term technical vision for core search or retrieval systems.
  • Hands-on experience with search/indexing tech (Elasticsearch, Lucene, Solr).
  • Strong Java skills and knowledge of concurrency and data structures.

Responsibilities

  • Define, lead, and contribute to the evolution of core search and indexing capabilities.
  • Research advances in search infrastructure and retrieval algorithms to improve foundations for users.
  • Collaborate with partners and product teams to shape the long-term technical vision for search at the company.

Skills

Search infra
Mentoring engineers
Technical vision
Elasticsearch
Lucene
Java
Distributed systems
Communication

Tools

Elasticsearch
Lucene
Solr

Job description

United States Digital Space LLC is seeking a Principal Software Engineer to join our Elasticsearch - Search Infra team. You will define and lead the evolution of core search, indexing, and retrieval capabilities across a globally distributed engineering group.

You will mentor engineers, drive a long-term technical roadmap, and contribute hands-on expertise with Elasticsearch, Lucene, and Solr while collaborating with product teams to deliver scalable search infrastructure.

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