Platform Engineer (Solr/Fusion/Elasticsearch/Apache Lucene)

Morgan StanleyNew York, NY
9h$150,000 - $210,000

About The Position

Lucidworks Fusion Administration & Customization Deploy and administer Lucidworks Fusion instances across various environments. Develop, configure, and maintain search pipelines, connectors, and indexing jobs. Create custom search interfaces, connectors, and components to meet enterprise requirements. Optimize Fusion search performance through tuning and caching strategies. Manage user access, permissions, and authentication integrations. Implement security best practices, privacy policies, and compliance standards. Develop and enforce best practices for data indexing, sharding, replication, and data lifecycle management. Manage Elasticsearch security features, including role-based access control (RBAC), encryption, and audit logging. Troubleshoot and resolve cluster issues, including node failures, data corruption, or network partitions. Collaborate with Data Engineering and Application teams to support data flow and indexing processes. Ensure data consistency, accuracy, and timeliness in search indexes. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Requirements

  • 5+ years of experience working with Elasticsearch and Lucidworks Fusion.
  • Hands-on experience with deploying, scaling, and tuning Elasticsearch clusters.
  • Proven experience with Fusion platform administration, customization, and development.
  • Strong understanding of search engine architecture, information retrieval, and relevance tuning.
  • Proficiency with scripting languages such as Bash, Python, or similar.

Nice To Haves

  • Familiarity with containerization and orchestration tools (Docker, Kubernetes) is highly desirable.

Responsibilities

  • Deploy and administer Lucidworks Fusion instances across various environments.
  • Develop, configure, and maintain search pipelines, connectors, and indexing jobs.
  • Create custom search interfaces, connectors, and components to meet enterprise requirements.
  • Optimize Fusion search performance through tuning and caching strategies.
  • Manage user access, permissions, and authentication integrations.
  • Implement security best practices, privacy policies, and compliance standards.
  • Develop and enforce best practices for data indexing, sharding, replication, and data lifecycle management.
  • Manage Elasticsearch security features, including role-based access control (RBAC), encryption, and audit logging.
  • Troubleshoot and resolve cluster issues, including node failures, data corruption, or network partitions.
  • Collaborate with Data Engineering and Application teams to support data flow and indexing processes.
  • Ensure data consistency, accuracy, and timeliness in search indexes.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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