Platform Engineer (Solr/Fusion/Elasticsearch/Apache Lucene) at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

210000.0

Posted On

28 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Lucidworks Fusion, Elasticsearch, Search Pipelines, Connectors, Indexing Jobs, Search Performance Optimization, User Access Management, Security Best Practices, Data Indexing, Sharding, Replication, Data Lifecycle Management, Troubleshooting, Data Consistency, Scripting Languages, Containerization, Orchestration Tools

Industry

Financial Services

Description

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. 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. Familiarity with containerization and orchestration tools (Docker, Kubernetes) is highly desirable. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. 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.

Responsibilities

The Platform Engineer will deploy and administer Lucidworks Fusion instances, develop and maintain search pipelines, and optimize search performance. They will also manage user access and implement security best practices.