ServiceNow

Technology

StaffSoftwareEngineer,SearchInfrastructure

$230–350k ~AI est. Mountain View, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“Staff Software Engineer, Search Infrastructure at ServiceNow. Skills: Search infrastructure, Scalable services, Data pipelines. Build scalable search infrastructure services. Maintain scalable search infrastructure services”

Industry & Context.

Technology
Problems you'll solve

Performance; Optimization; Scalability; Latency; Monitoring

What They're Looking For.

Must Have

8+ years of experience, BS in computer science or related field

Nice to Have

Prior search technologies experience, Experience with Lucene, Solr, or Elasticsearch

What You'll Do.

Build scalable search infrastructure services

Maintain scalable search infrastructure services

Maintain microservices

Design data pipelines

Operate data pipelines

Consume messaging queues

Produce to messaging queues

Integrate with chunking services

Integrate with embedding services

Integrate with access control services

Build OpenSearch indices

Manage OpenSearch indices

Optimize OpenSearch indices

Archive OpenSearch indices

Delete OpenSearch indices

Improve search infrastructure performance

Improve search infrastructure scalability

Improve search infrastructure observability

Deliver deadline-sensitive work

Influence search infrastructure roadmap

Drive reliability improvements

Drive operability improvements

Manage index lifecycle policies

How You'll Work.

Team & Collaboration

Cross-functionally with Core; Cross-functionally with ML; Cross-functionally with Platform

Full Job Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. * Build and maintain scalable search infrastructure services and microservices that power search experiences across machine learning and platform teams. * Design and operate high-throughput data pipelines that consume and produce to messaging queues (e.g. Kafka), integrating with chunking, embedding, and fine-grained access control services across the platform. * Build and manage thousands of OpenSearch indices across large-scale clusters, owning the full index lifecycle including creation, schema design, optimization, archival, and deletion. * Improve the performance, scalability, and observability of search infrastructure, including query latency, indexing throughput, cluster health, and relevance pipelines. * Deliver deadline-sensitive work regularly that is interdependent with other engineering teams, including those owning embedding, chunking, and access control services. * Own search infrastructure features from intake and design through rollout and ongoing operations, and regularly influence the search infrastructure roadmap. * Drive reliability and operability improvements across the search platform, including index lifecycle management policies, capacity planning, and cluster scaling strategies. * This is a highly collaborative, in-person role working cross-functionally with Core, ML, and Platform engineering teams to deliver robust, production-grade search capabilities. *

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