ServiceNow

Tech / AI / Software

AssociateSoftwareEngineer,SearchInfrastructure

mountain view, california, united states FULL TIME
The Brief

“Associate Software Engineer, Search Infrastructure at ServiceNow. Skills: Search Infrastructure, microservices, distributed configuration management, rate limiting, feature flag, A/B testing, traffic capture and replay, performance, scalability, observability. Build out core infrastructure services and microservices that impact our machine learning, frontend, and platform teams. Build out core infrastructure for various functionalities such as: distributed configuration management, rate limiting”

Industry & Context.

Tech / AI / Software
Problems you'll solve

Experience solving for performance, optimization, scalability, latency, and monitoring

Eligibility Requirements

in-person role

What They're Looking For.

Must Have

0-3 years of experience, Familiarity with Python/Golang/Java/C++, 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, BS in computer science or a related field

Nice to Have

High level of curiosity about engineering outside of your immediate discipline and an incessant desire to learn

What You'll Do.

Build out core infrastructure services and microservices that impact our machine learning

Build out core infrastructure for various functionalities such as: distributed configuration management

and traffic capture and replay

Improve the performance

scalability and observability of the Moveworks cloud infrastructure

Deliver deadline sensitive work regularly that is interdependent with other engineering teams

Own features end-to-end

Regularly influence the infrastructure roadmap

How You'll Work.

Team & Collaboration

highly collaborative, in-person role; working cross functionally with Core and ML engineering teams; interdependent with other engineering teams

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