Elastic
Elastic is seeking a Backend Engineer to design, implement, and maintain high-performing, scalable backend ingestion pipelines for its Observability organization. The role involves building reliable systems for ingesting telemetry data from diverse environments, ensuring system stability, and providing engineering support to customers. The position requires strong expertise in Go, Kubernetes, and distributed systems within a globally distributed team.
Headquarters
San Francisco, California, United States
Company Size
1001-5000 employees
Founded
2012
Elastic is the Search AI company that delivers the Elastic Search AI Platform to help organizations find answers and drive outcomes from their data. Built on Elasticsearch and the Elastic Stack (Kibana, Beats, Logstash), it provides solutions for enterprise search, observability, security (SIEM), and analytics to search, analyze, and visualize logs, metrics, and other data in real time. Available as cloud-hosted and self-managed deployments, Elastic offers APIs, machine learning, vector search, and developer-friendly tools rooted in open-source technology. Customers use Elastic to accelerate time-to-insight, detect and investigate threats, troubleshoot applications, and build rich search experiences.
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1 day ago
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Elastic.
Elastic didn’t post a salary, so this is our estimate from similar listings.
6% above the average for this role
Elastic to Present at Upcoming Investor Conference
3 weeks ago