Staff Agentic Search Infrastructure Engineer - Moveworks
ServiceNow · Mountain View, CA
$165,500–$291,400from the description
Jul 7, 2026
Mountain View, CA
Jul 21, 2026
What this job asks for AI summary
A senior infrastructure engineering role focused on building and maintaining the foundational search platform that AI agents and applications rely on to find and retrieve enterprise data. Day-to-day work spans index engine development, multi-modal ingestion and enrichment pipelines, hybrid sparse and semantic indexing at scale, and knowledge graph contributions. Suits engineers with deep hands-on search technology experience who are comfortable owning complex distributed systems end to end.
Senior level · 6+ years · San Diego, CA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 6 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 670 people in the San Diego, CA area plausibly meet what this posting asks for (software developers). range 500–1,050
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
What the occupation pays Median $166,860 (middle half $131,418–$198,246). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The JD requires proficiency in at least one of Lucene, Solr, Elasticsearch, or OpenSearch — these are listed as interchangeable options for the same hard gate; Lucene is used as the primary name with the others in alternatives.
Vector databases are explicitly called 'an advantage' (preferred), not a hard requirement.
The role is explicitly described as in-person / on-site ('highly collaborative, in-person role', 'collaborating on-site with colleagues every day'), so remote=false. The salary range and company HQ point to San Diego, CA, though the specific office location is not stated.
A PhD is mentioned as 'a plus', so it is not a hard degree requirement; the minimum stated is BS or MS, making Bachelors the floor.
The alt SOC (15-1243 Database Architects) reflects the heavy data-pipeline, indexing-infrastructure, and knowledge-graph architecture work; however, the role also ships production software and owns full lifecycle engineering, making 15-1252 the stronger fit.
Most of the technical scope (hybrid indexing, ingestion pipelines, entity resolution, multi-modal indexing, knowledge graphs, vector quantization) appears in the narrative responsibilities section rather than a formal 'Required Skills' block, so those are marked preferred. Only the search-technology proficiency is explicitly called 'required' in the Qualifications section.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): semantic/embedding-based indexing, multi-modal data processing.
Read the full posting
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