Software Engineer II (Search & Data Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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