Senior Software Engineer - Storage Engine - Elasticsearch (Lérida)

Senior Software Engineer - Storage Engine - Elasticsearch (Lérida)

15 sep
|
Elastic
|
Lérida

15 sep

Elastic

Lérida

Overview
Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.
As a Senior Software Engineer in the Elasticsearch storage team, you architect and optimize the core storage and query engine to boost performance at scale. You collaborate across a distributed, globally distributed team to advance observability workloads and data layouts for object storage. You mentor peers, drive architectural clarity, and apply best practices to deliver high-quality, scalable software. This role combines deep systems work with strategic initiatives to elevate Elasticsearch capabilities.
Compensaciones / Beneficios
competitive pay
health coverage for you and family
adaptable locations and schedules
generous vacation days
donation matching up to 2000
volunteer hours (up to 40 per year)
Responsabilidades
Lead architectural evolution of core storage engine components, addressing indexing layouts, serialization formats, and resource use for performance
Drive cross-organizational initiatives to build industry-leading observability solutions
Contribute to logs and metrics capabilities within a globally distributed team
Improve operational practices and clean-code standards to simplify complex system behavior




Serve as a subject matter expert (SME) and mentor the wider engineering organization
Collaborate across teams to triage, review issues and pull requests with domain experts
Requisitos principales
Proven track record building high-performance, scalable database, search, or distributed systems
Strong core Java skills with deep understanding of concurrency and data structures
Experience with data storage technologies (e.g., Elasticsearch, Solr, PostgreSQL, MongoDB, Prometheus) and how they work
Ability to operate autonomously in a distributed team and drive decisions xqbhyrx
Experience using AI to accelerate development and debugging, with a prudent engineering approach
Familiarity with prompt-engineering and evaluating AI outputs in software engineering
Experience indexing, storing, and querying time-series or logs data
Excellent communication and collaboration across distributed teams
collaboration across functions and teams
autonomous decision-making in distributed teams
clear and respectful communication
Java (advanced), concurrency primitives
storage engine design and optimization
time-series/log indexing and querying

📌 Senior Software Engineer - Storage Engine - Elasticsearch (Lérida)
🏢 Elastic
📍 Lérida

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