Senior Software Engineer, Search Infrastructure - Moveworks

ServiceNow•Mountain View, CA

1h•$143,200 - $243,000•Onsite

About The Position

The Senior Software Engineer will help shift the organization from product-specific search solutions to a composable, agent-native infrastructure foundation used by agents and applications to locate, search, discover, and recommend resources across heterogeneous enterprise data. The role builds and owns core infrastructure for an agentic search platform, including the index engine, ingestion and enrichment pipeline, and entity, identity, and feature intelligence. It ensures index-time enrichments align with query-time needs so retrieval, ranking, and reasoning share a consistent foundation. The engineer will build and operate hybrid indexing technology across large clusters, covering keyword-based sparse-vector indices, embedding-based semantic indices, and emerging semantic-ID indexing driven by next-token prediction. The role owns the index lifecycle and provides unified contracts to search primitives and agent-composed recipes. It also develops high-throughput, permission-aware ingestion and enrichment pipelines that prepare content through parsing, chunking, embedding, entity resolution, and access control. The position includes multi-modal indexing for enterprise data such as text, tables, diagrams, images, audio, and video, as well as contributing to a knowledge graph that resolves entities across data sources. The engineer improves search performance, scalability, and observability; owns infrastructure from design through ongoing operations; and drives reliability through 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

BS or MS 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 excitement to collaborate on-site with colleagues every day.

Nice To Haves

PhD.
Experience with vector databases.

Responsibilities

Build and own infrastructure underlying 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 to support consistent retrieval, ranking, and reasoning.
Build and operate hybrid indexing technology at scale, including sparse-vector, semantic embedding, and semantic-ID indices.
Own the index lifecycle and expose unified contracts to search primitives and agent-composed recipes.
Design and operate high-throughput ingestion and enrichment pipelines that produce multi-representation, permission-aware corpora.
Orchestrate content preparation stages, including parsing, chunking, embedding, entity resolution, and access control.
Build and operate multi-modal indexing for text, structured content, diagrams, images, audio, and video, making the content retrievable through a unified surface.
Contribute to a knowledge graph that resolves entities across enterprise data sources and links resources through canonical 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.