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Tier-1 brand, metro location, and mid-level experience increase competition, but niche OpenSearch specialization limits applicant pool.
Specialized OpenSearch and Java backend expertise moderately limits cross-industry portability.
Explicit 5+ years and 2+ years OpenSearch plus mandatory Java/ELKB experience create strict technical filters.
Design, build, and maintain highly available, scalable, and stable OpenSearch clusters critical to eBay’s search and analytics infrastructure.
Develop and implement self-service tools and automation to improve operational efficiency for administrators and customer teams.
Proactively troubleshoot and resolve complex issues within large-scale, high-traffic OpenSearch environments to ensure optimal performance and reliability.
Bachelor’s, Master’s, or PhD in Computer Science or related technical discipline (or equivalent).
5+ years of Java software development experience with at least 2+ years working specifically on OpenSearch or ElasticSearch.
Proficient in object-oriented design and development in Java with strong problem-solving skills and ability to handle critical technical issues independently.
Hands-on experience with ELKB (Elasticsearch, Logstash, Kibana, Beats) or OpenSearch stack; understanding of cluster architecture, sharding, indexing, replication, and query optimization.
Experienced engineering professional with demonstrated ability to build production-grade software using AI coding agents to enhance development velocity and maintain quality.
Strong ability to decompose complex problems and provide precise context/validation for AI tools to execute tasks autonomously.
Comfortable working in high-velocity, high-quality environments with delivery focus and proven results; experience in multi-national companies is a plus.