Senior Software Engineer, Search Infrastructure

Quick Facts

• Role: Senior Software Engineer, Search Infrastructure

• Focus: Agent-native, composable search infrastructure (indexing, ingestion/enrichment, entity intelligence)

• Collaboration: Cross-functional work with Search Ranking, ML, and Platform engineering teams

Description

Own and build the infrastructural substrate behind an agentic search platform, covering the index engine, ingestion/enrichment pipeline, and entity/identity/feature intelligence. Design hybrid and multi-modal indexing at scale (sparse-vector, embedding-based semantic indices, and semantic-ID indexing) and ensure index-time enrichments stay aligned with query-time expectations. Improve performance, scalability, and observability end to end by running the full index lifecycle and operating large clusters in production.

Responsibilities

• Build and operate hybrid indexing technology for large clusters (sparse, embedding-based, semantic-ID).

• Own the full index lifecycle and expose unified contracts for search primitives and agent “recipes.”

• Design and run high-throughput ingestion and enrichment pipelines (parsing, chunking, embedding, entity resolution, access control).

• Deliver permission-aware, multi-representation corpora that are agent-ready.

• Implement multi-modal indexing across text, tables, diagrams, images, and audio/video with unified retrieval.

• Contribute to a knowledge graph for entity resolution across enterprise sources.

• Improve query latency, indexing throughput, and cluster health; apply techniques like vector quantization.

• Drive reliability and operability via index lifecycle policies, capacity planning, and cluster scaling strategies.

• Own search infrastructure end to end: intake, design, rollout, and ongoing production operations.

Requirements

• BS or MS in Computer Science or equivalent engineering background (PhD plus).

• 2+ years of full-time industry experience.

• Hands-on experience with search technologies; proficiency with Lucene, Solr, Elasticsearch, or OpenSearch (vector databases are a plus).

• Eagerness to collaborate in a highly collaborative in-person team culture.

Benefits

• Base pay guideline: $143,200 - $243,000 plus equity (when applicable), variable/incentive compensation.

• Health plans, flexible spending accounts, 401(k) with company match, ESPP, matching donations.

• Flexible time away plan and family leave programs.