Staff Software Engineer (Search Data Infrastructure)

TL;DR

Staff Software Engineer (Search Data Infrastructure): Designing and developing scalable offline indexing pipelines and information retrieval systems for Slack with an accent on reliability, performance, and scalability. Focus on optimizing Solr clusters, building distributed data processing frameworks, and integrating AI agents into engineering workflows.

Location: Must be based in Seattle, Atlanta, or Dallas

Company

hirify.global (Slack) provides indispensable communication and knowledge repository tools for millions of users worldwide.

What you will do

• Design and develop scalable, resilient offline indexing pipelines that process and transform data for search infrastructure.
• Deploy, configure, and optimize Solr clusters to ensure high availability and system health.
• Partner with product engineering to conceptualize and ship new features for a rapidly growing user base.
• Integrate AI development tools and agents into human workflows to drive efficiency and innovation.
• Conduct collaborative code reviews and champion improvements to engineering standards and tooling.
• Take long-term ownership of search systems, proactively improving the health of surrounding services.

Requirements

• 10+ years of hands-on experience with distributed data and search technologies.
• Extensive work with distributed data processing frameworks such as Spark, Hadoop, MapReduce, or EMR.
• Experience with Solr, Elasticsearch, Lucene, or comparable search technologies.
• Proficiency in functional or imperative languages (e.g., Java, Go, Python, PHP, Ruby, or C).
• Familiarity with infrastructure and ops tooling including Terraform, Chef, and Kubernetes.
• Must be based in one of the specified hubs: Seattle, Atlanta, or Dallas.

Nice to have

• Experience in text mining, parsing, and NLP techniques applied to search relevance.
• Contribution to search relevance tuning, ranking models, or query understanding.
• Ability to write clean, elegant code in Scala and SQL.

Culture & Benefits

• Positive, diverse, and supportive team culture valuing curiosity and humility.
• Collaborative environment working closely with ML, infrastructure, and product engineers.
• AI-first engineering approach, leveraging cutting-edge tools to deliver high-quality code.
• Commitment to professional craft and continuous daily improvement.