Overview In this role you will advance Elasticsearch at scale, focusing on distributed indexing, cluster coordination, and data safety across nodes. You’ll work with cross-functional teams to push scalability, performance, and resilience, shaping how data is indexed and accessed in large clusters. You will troubleshoot complex distributed system challenges and guide multi-engineer projects from design to delivery. This position offers the chance to impact a widely adopted, cloud-based search and analytics platform at a leading AI-powered software company.

Compensaciones / BeneficiosCompetitive pay based on workHealth coverage for familyFlexible locations and schedulesGenerous vacation daysVolunteer time and donations matchingParental leave support ResponsabilidadesImprove components for concurrent and consistent indexing across multiple machinesMaintain and optimize the cluster coordination system to preserve performance and liveness as nodes join/leave and data movesPush the limits on shards, nodes, and petabyte-scale data handlingInvestigate performance and concurrency issues and propose solutionsSupport engineers with difficult problems Requisitos principalesStrong background in distributed systems and consensus algorithmsStrong core Java skills and familiarity with data structures, concurrency constructs, and modern language featuresDeep technical proficiency in algorithmsProven ability to work on complex, highly distributed systemsExperience owning projects from start to finish including technical design and cross-team collaborationExperience managing projects with multiple engineersStrong problem-solving abilityCross-functional collaborationOwnership mindset and project leadershipDistributed systemsConsensus algorithmsJava and concurrency

📌 Principal Java Engineer - Distributed Systems, Serverless - Elasticsearch (Madrid)
🏢 Jobrapido
📍 Madrid