Senior Software Engineer, Search Infrastructure - Moveworks

ServiceNow•Mountain View, CA

2d•Onsite

About The Position

The Senior Software Engineer, Search Infrastructure will help build a composable, agent-native search infrastructure for locating, searching, discovering, and recommending resources across heterogeneous enterprise data. The role owns infrastructure spanning the index engine, ingestion and enrichment pipelines, and entity, identity, and feature intelligence that provides context for content. It also addresses alignment between index-time enrichments and query-time needs so retrieval, ranking, and reasoning use a consistent foundation. The position builds and operates hybrid indexing technology at scale, including keyword-based sparse-vector indices, embedding-based semantic indices, and emerging semantic-ID indexing. It owns the full index lifecycle and provides unified contracts for search primitives and agent-composed recipes. The engineer designs high-throughput, permission-aware ingestion and enrichment pipelines; supports multimodal indexing of text, structured data, diagrams, images, audio, and video; and contributes to a knowledge graph that connects entities across enterprise data sources. The role improves search performance, scalability, and observability, including query latency, indexing throughput, and cluster health. It applies methods such as vector quantization to balance model quality, retrieval performance, and storage cost. The engineer owns infrastructure from intake and design through rollout and ongoing operations, contributes to the search roadmap, and drives reliability through index lifecycle policies, capacity planning, and cluster scaling. This is a highly collaborative, in-person role working with Search Ranking, ML, and Platform engineering teams.

Requirements

Bachelor’s or master’s degree in Computer Science or an equivalent engineering background.
At least 2 years of full-time industry experience.
Hands-on experience with search technologies.
Proficiency in one or more of Lucene, Solr, Elasticsearch, or OpenSearch.
Willingness and enthusiasm to collaborate on-site with colleagues every day.

Nice To Haves

PhD is a plus.
Experience with vector databases.

Responsibilities

Build and own the infrastructure foundation beneath the agentic search platform, including the index engine, ingestion and enrichment pipeline, and entity, identity, and feature intelligence.
Keep index-time enrichments aligned with query-time expectations so retrieval, ranking, and reasoning use a consistent foundation.
Build and operate hybrid indexing technology at scale across keyword-based sparse-vector, embedding-based semantic, and emerging semantic-ID indices.
Own the full index lifecycle and expose unified contracts to search primitives and agent-composed recipes.
Design and operate high-throughput ingestion and enrichment pipelines that produce a multi-representation, permission-aware corpus.
Orchestrate and evolve content preparation stages, including parsing, chunking, embedding, entity resolution, and access control.
Build and operate multimodal indexing for enterprise data including free text, structured content, diagrams, images, audio, and video.
Contribute to a knowledge graph that resolves entities across enterprise data sources and links resources through canonical entity relationships.
Improve search performance, scalability, and observability, including query latency, indexing throughput, and cluster health.
Apply techniques such as vector quantization to balance model quality, retrieval performance, and storage cost.
Own search infrastructure end to end, from intake and design through rollout and ongoing operations, and help shape the search roadmap.
Drive reliability and operability through index lifecycle policies, capacity planning, and cluster scaling strategies.
Collaborate in person with Search Ranking, ML, and Platform engineering teams to deliver production-grade agentic search capabilities.