Senior Software Engineer, Storage Engine

Elastic

Confirmed live 2 days ago Low trust
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
53 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $187k
$120k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $165,650–$207,876.

Based on 240 similar postings.

Employer

About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.

Elastic currently has 240 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 91 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Storage Engine

Senior Software Engineer - Storage Engine - Elasticsearch joins the Elasticsearch - Storage Engine team to develop core storage and query technologies for observability workloads. This role involves designing, implementing, and optimizing the core storage and query engine while improving storage efficiency, advancing ES|QL query processing, and optimizing data layouts for object storage. The engineer will lead architectural evolutions of components, resolve performance bottlenecks in indexing layouts and serialization formats, and serve as a technical mentor. Key responsibilities include managing logs and metrics capabilities and triaging issues within the global community. Required skills include expert-level Java programming, deep knowledge of concurrency primitives, and experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus. The role focuses on solving complex problems related to indexing, storing, and querying time-series or logs data in a distributed environment.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

See salary data

What you'll do

  • Design, implement, and optimize Elasticsearch's core storage and query engine components.
  • Resolve performance bottlenecks in indexing layouts, serialization formats, and resource utilization.
  • Improve ES|QL query processing and optimize data layouts for object storage.
  • Lead cross-organizational initiatives to build and improve industry-leading observability solutions.
  • Act as a technical subject matter expert and mentor for the wider engineering organization.
  • Triage, resolve, and review issues and pull requests from the global community.
  • Write high-quality, idiomatic Java code for core system features.

What we're looking for

  • You must have strong core Java skills and a deep understanding of its concurrency primitives.
  • You must be able to design and optimize efficient data structures and algorithms.
  • You must have experience with one or more data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus.
  • You must have implemented techniques to efficiently index, store, and query time-series or logs data.
  • You must demonstrate a proven track record of using AI to accelerate development and debug complex systems.
  • You must possess excellent verbal and written communication skills for collaboration in a distributed team.
  • Experience with open source projects and familiarization with various source control workflows and CI is preferred.
  • Experience with database, search engine, OS, or cloud service development is preferred.

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