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Develop and improve e-commerce search capabilities, including indexing and data-processing pipelines, relevance, ranking, filtering, faceting, and autocomplete. Collaborate with product and engineering teams on designs and delivery, maintain automated tests and operational monitoring, and support production systems through an on-call rotation.
Requirements: Requires a bachelor's or master's degree in computer science, software engineering, information systems, or a related field, plus at least four years of backend software engineering experience. Candidates should have hands-on Elasticsearch, Java and Spring Boot, and Apache Spark or comparable data-processing experience, along with skills in testing, design, observability, production support, and agentic AI development tools.
Key Skills: Elasticsearch, Java, Spring Boot, Apache Spark, Google Cloud Platform, Dataproc, Dataflow, Search Relevance Tuning, REST APIs, Microservices, Unit Testing, Test Automation, CI/CD, Application Logging, Observability, Agentic AI Development Tools
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