Senior Software Engineer
Hace 1 día
Valencia, Valencian Community, España
elastic
Jornada completa
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Overview 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
* flexible 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
* 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
* competitive pay
* health coverage for you and family
* flexible 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
* 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