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: 2 hours agoStatus: Live

Job Summary

Design, implement, and optimize Elasticsearch’s core storage and query engine for observability workloads. Join the globally distributed Elasticsearch - Storage Engine team to improve storage efficiency, advance ES|QL query processing and performance, and optimize data layouts for object storage. Lead architectural evolution of storage engine components, diagnose performance bottlenecks, and drive cross-organizational initiatives while serving as an SME and mentor across the engineering organization.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead the architectural evolution of core storage engine components and resolve performance bottlenecks in indexing layouts, serialization formats, and resource utilization.
•Lead cross-organizational initiatives to drive and build industry-leading observability solutions.
•Work with a globally distributed engineering team focused on Elasticsearch logs and metrics capabilities.
•Drive continuous operational and system improvements by establishing clean coding standards and clarifying complex system behaviors.
•Act as a subject matter expert (SME), serving as a trusted advisor and mentor while triaging, resolving, and reviewing issues and pull requests.

Pay and Benefits

Salary: USD 133,100 - 210,600

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•Ability to collaborate across functions and transition between projects and codebases based on business priorities.
•Ability to drive decisions and results autonomously in a distributed team using asynchronous and transparent communication.
•Proven track record of using AI to accelerate development, debug complex systems, and optimize code while owning outcomes.
•Implemented novel techniques to efficiently index, store, and query time-series or logs data.
•Strong core Java skills, including concurrency primitives, plus experience designing and optimizing data structures and algorithms.

Skills:CollaborationAutonomyCommunicationMentorshipProblem-solving

Languages:English

Tech Stack:JavaElasticsearchES|QLGitHubZoomSlackSolrPostgreSQLMongoDBPrometheusObject 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: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead the architectural evolution of core storage engine components and resolve performance bottlenecks in indexing layouts, serialization formats, and resource utilization.
•Lead cross-organizational initiatives to drive and build industry-leading observability solutions.
•Work with a globally distributed engineering team focused on Elasticsearch logs and metrics capabilities.
•Drive continuous operational and system improvements by establishing clean coding standards and clarifying complex system behaviors.
•Act as a subject matter expert (SME), serving as a trusted advisor and mentor while triaging, resolving, and reviewing issues and pull requests.

Pay and Benefits

Salary: USD 133,100 - 210,600

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•Ability to collaborate across functions and transition between projects and codebases based on business priorities.
•Ability to drive decisions and results autonomously in a distributed team using asynchronous and transparent communication.
•Proven track record of using AI to accelerate development, debug complex systems, and optimize code while owning outcomes.
•Implemented novel techniques to efficiently index, store, and query time-series or logs data.
•Strong core Java skills, including concurrency primitives, plus experience designing and optimizing data structures and algorithms.

Skills:CollaborationAutonomyCommunicationMentorshipProblem-solving

Languages:English

Tech Stack:JavaElasticsearchES|QLGitHubZoomSlackSolrPostgreSQLMongoDBPrometheusObject 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