ServiceNow

Technology

AssociateSoftwareEngineer,SearchInfrastructure

$115–155k ~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

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

Industry & Context.

Technology
Problems you'll solve

Performance; Optimization; Scalability; Latency; Monitoring

Eligibility Requirements

In-person role

What They're Looking For.

Must Have

0-3 years of experience, BS in computer science or related field

Nice to Have

Prior exposure to search technologies, Experience with containers/Docker, Experience with cloud infrastructure like AWS/GCP/Azure, Experience working with and operating open source technologies like Kafka, Elasticsearch or Opensearch, Istio, Vector DB, etc. at scale, Experience solving for performance, optimization, scalability, latency, and monitoring

What You'll Do.

Build scalable search infrastructure services

Maintain scalable search infrastructure services

Maintain microservices

Design high-throughput data pipelines

Operate high-throughput data pipelines

Consume messaging queues

Produce to messaging queues

Integrate chunking services

Integrate embedding services

Integrate access control services

Deliver deadline-sensitive work

Drive reliability improvements

Drive operability improvements

Manage index lifecycle

How You'll Work.

Team & Collaboration

Cross-functional teams; Core engineering teams; ML engineering teams; Platform engineering teams

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. * Deliver deadline-sensitive work regularly that is interdependent with other engineering teams, including those owning embedding, chunking, and access control services. * 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. * Prior exposure to search technologies such as Lucene, Solr, or Elasticsearch is a plus. ## Qualifications * 0-3 years of experience. * Familiarity with Python/Golang/Java/C++. * Experience with containers/Docker, and with cloud infrastructure like AWS/GCP/Azure. * Experience working with and operating open source technologies like Kafka, Elasticsearch or Opensearch, Istio, Vector DB, etc. at scale. * Desire to work at a startup pace with a high degree of ownership. * Experience solving for performance, optimi

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