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4 дня назад

Software Engineer II (Search & Data Infrastructure)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Software Engineer II (Search & Data Infrastructure): Building and maintaining high-scale information retrieval systems for Slack with an accent on indexing pipelines, Solr cluster management, and distributed data processing. Focus on integrating AI-driven workflows into infrastructure development and ensuring system reliability at massive scale.

Location: Must be based in Seattle, WA or Atlanta, GA

Company

hirify.global is a global leader in CRM and cloud-based software, powering Slack as a central hub for organizational knowledge and collaboration.

What you will do

  • Design and develop scalable, resilient offline indexing pipelines for search infrastructure.
  • Collaborate with product and ML teams to ship new features and ensure high availability of distributed search systems.
  • Deploy, maintain, and optimize Solr clusters to ensure peak performance and reliability.
  • Own team features end-to-end, proactively improving system health and engineering standards.
  • Integrate AI agents into human workflows and maintain system context for reliable AI-assisted development.
  • Triage and resolve production issues in partnership with operations teams.

Requirements

  • 4+ years of professional software engineering experience.
  • Hands-on experience with search technologies like Solr, Elasticsearch, or Lucene.
  • Proficiency in distributed data processing frameworks such as Spark, Hadoop, or EMR.
  • Strong background in infrastructure tools like Kubernetes, Terraform, and cloud environments.
  • Demonstrated AI-first approach to engineering with experience integrating AI tools into development workflows.
  • Solid understanding of computer science fundamentals, distributed systems, and information retrieval.

Nice to have

  • Professional experience with Java, Scala, or SQL.
  • Knowledge of text mining, NLP, or natural language parsing.
  • Experience with vector search, dense retrieval, or embedding-based approaches.
  • Contributions to relevance tuning or ranking systems.

Culture & Benefits

  • Collaborative, diverse, and supportive team environment.
  • Focus on continuous learning and daily improvement.
  • Opportunity to work on foundational infrastructure for a globally used product.
  • Emphasis on high-quality engineering standards and modern development practices.

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