Elastic

1 day ago

Senior Software Engineer - Storage Engine - Elasticsearch

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Design, implement, and optimize Elasticsearch’s core storage and query engine for observability workloads. Join a globally distributed, fully remote team to evolve storage-engine components, resolve indexing and performance bottlenecks, and advance ES|QL query processing. You’ll serve as an SME and trusted advisor, lead cross-organizational initiatives, and write idiomatic modern Java in a code-review-driven culture focused on incremental improvements.

Location: Spain

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, implement, and optimize Elasticsearch core storage and query engine components, identifying and resolving performance bottlenecks across indexing layouts, serialization formats, and resource utilization.
•Lead the architectural evolution of core storage engine components and drive cross-organizational initiatives to build observability solutions.
•Work with globally distributed engineers focused on logs and metrics capabilities, triaging and resolving issues and reviewing issues and pull requests.
•Drive continuous operational and system improvements by establishing best practices for clean coding standards and bringing architectural clarity across the platform.
•Serve as a subject matter expert (SME) and mentor to the wider engineering organization.

Pay and Benefits

Salary: EUR 67,000 - 106,000 annually

Perks:Health InsuranceRemote WorkParental Leave

Key Requirements

•Experience building high-performance, scalable database, search, or distributed systems with strong focus on storage, indexing, and query execution.
•Strong core Java skills, including deep understanding of concurrency primitives and ability to design and optimize efficient data structures and algorithms.
•Proven ability to collaborate across functions and shift across projects, codebases, or teams based on business priorities.
•Experience implementing techniques to efficiently index, store, and query time-series or logs data.
•Experience with one or more data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus.

Experience:Distributed systemsObservabilityTime-seriesLogsSearch

Skills:CollaborationAutonomyCommunicationTechnical advisory

Languages:English

Tech Stack:JavaElasticsearchES|QLGitHubSlackZoomSolrPostgreSQLMongoDBPrometheusObject storage

Company Brief

Elastic

Builds the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash) and provides search, observability, and security solutions that enable organizations to search, analyze, and protect data in real time across applications, infrastructure, and enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 2012

Website LinkedIn

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Elastic

1 day ago

Senior Software Engineer - Storage Engine - Elasticsearch

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Spain

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, implement, and optimize Elasticsearch core storage and query engine components, identifying and resolving performance bottlenecks across indexing layouts, serialization formats, and resource utilization.
•Lead the architectural evolution of core storage engine components and drive cross-organizational initiatives to build observability solutions.
•Work with globally distributed engineers focused on logs and metrics capabilities, triaging and resolving issues and reviewing issues and pull requests.
•Drive continuous operational and system improvements by establishing best practices for clean coding standards and bringing architectural clarity across the platform.
•Serve as a subject matter expert (SME) and mentor to the wider engineering organization.

Pay and Benefits

Salary: EUR 67,000 - 106,000 annually

Perks:Health InsuranceRemote WorkParental Leave

Key Requirements

•Experience building high-performance, scalable database, search, or distributed systems with strong focus on storage, indexing, and query execution.
•Strong core Java skills, including deep understanding of concurrency primitives and ability to design and optimize efficient data structures and algorithms.
•Proven ability to collaborate across functions and shift across projects, codebases, or teams based on business priorities.
•Experience implementing techniques to efficiently index, store, and query time-series or logs data.
•Experience with one or more data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus.

Experience:Distributed systemsObservabilityTime-seriesLogsSearch

Skills:CollaborationAutonomyCommunicationTechnical advisory

Languages:English

Tech Stack:JavaElasticsearchES|QLGitHubSlackZoomSolrPostgreSQLMongoDBPrometheusObject storage

Company Brief

Elastic

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 2012

Website LinkedIn