Principal Search Engineer at Fidelity focused on enhancing search solutions with Solr/OpenSearch. Leading the design and automation of high-performance search infrastructure for customer experiences.
Responsibilities
Design, develop, and optimize search and content discovery platform supporting millions of customer requests.
Implement and enhance hybrid search solutions, leveraging AI/ML techniques to improve search relevance and user experience.
Build, manage, and automate cloud infrastructure to ensure robust, high-performance search capabilities.
Collaborate with cross-functional teams to deliver innovative search solutions and contribute ideas for product enhancements.
Continually develop technical skills in a fast-paced, team-oriented environment.
Requirements
Deep expertise in implementing, configuring, and tuning enterprise-grade search solutions using Solr (preferred); experience with OpenSearch is a plus.
Comprehensive knowledge of information retrieval principles, including both classic approaches (such as TF-IDF, BM25) and advanced neural search techniques (like vector embeddings and transformer-based models).
Proficiency in container technologies, especially Kubernetes (AWS EKS preferred) and Docker.
Solid understanding of the software development and delivery lifecycle for large-scale systems.
Ability to design and implement automation and infrastructure solutions using languages such as Python, Groovy, Shell, and NodeJS.
Experience with build tools and package managers (helm, maven, npm, pip, etc.).
Familiarity with observability, monitoring, and logging tools such as Datadog, Splunk, or other OpenTelemetry/APM tools.
Experience troubleshooting and resolving complex CI/CD pipelines, release issues, and multi-component system environments.
Advanced degree in Computer Science or a related field, or equivalent professional experience.
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