Senior Search Engine/SOLR/Elastic Engineer

Senior Search Engine/SOLR/Elastic Engineer

-Location: Dallas, TX, Miramar, FL, Minneapolis, MN, Seattle, WA or Atlanta, GA

1. Search Expertise (SOLR, Lucidworks or Coveo)

Coveo is good but not mandatory elastic or solar is good, ML

1. Java or Python programming languages

3 AWS cloud

4 B2B experience nice to have

The Senior Developer – Enterprise Search is responsible for independently developing and

consistently redesigning/refactoring our search engine solutions to adapt to the needs of our

customers, suppliers and associates. The Ideal candidate will have experience with the Coveo

Search Platform. If not, we also considering candidates with strong experience in Solr, Elasticsearch

or other similar platforms. This role requires deep understanding of search engine relevancy tuning,

recommendations, and personalization using AI/ML models. The candidate should also have

extensive experience with REST APIs, familiarity with front-end technologies like react.js and micro

front ends, and experience in B2B or B2C ecommerce search and recommendations.

As a senior developer, you will be part of dynamic team with engineers of all experience levels who

help each other build and grow technical and leadership skills while creating, deploying, and

supporting production applications. In addition, senior developers may be involved in product and

tool selection, configuration, security, resilience, performance tuning, and production monitoring as

well as mentoring less experienced engineers.

Specialized Skills and Technologies

-Proficiency in programming languages such as Java, Python, or JavaScript.

-Strong experience with the Coveo Search platform, Solr, Elasticsearch, or similar.

-Deep understanding of search engines, relevancy tuning, and search algorithms.

-Experience with using AI/ML models to build relevancy ranking, recommendations and

personalization solutions.

-Proficiency in developing and consuming REST APIs and experience with micro services

architecture.

-Familiarity with front-end technologies such as React, Angular, or Vue.js.

-Experience with micro front ends architecture.

-Knowledge of databases and data modeling.

• Experience with cloud platforms and services (e.g., AWS, Azure).

-Familiarity with batch processing and real-time data processing frameworks like Apache

Spark or similar.

-Data mapping and data quality experience is a plus

Primary Responsibilities

-Design, develop, and configure search engine indexes using Coveo, Solr, Elasticsearch, or

similar platforms to ensure optimal performance and accuracy.

-Conduct relevancy tuning and implement advanced search algorithms to improve search

results, including configuring relevancy ranking, boost and bury, dynamic navigation,

triggers, redirects, thesaurus, and stop words.

-Develop and integrate recommendation and personalization systems using AI/ML

technologies.

-Configure and manage query pipelines and index data in the right format.

-Integrate the search platform with other systems, such as ad managers and data sources

like SQL databases and data lakes, to consume structured and unstructured data.

-Capture site usage analytics and use customer behavior data to configure relevancy tuning

algorithms, recommendation models, and personalization strategies.

-Collaborate with cross-functional teams to gather requirements and deliver robust search

solutions.

• Develop and maintain REST APIs for search functionalities.

-Work closely with front-end developers to integrate search functionalities into web

applications using technologies like React and micro front ends.

-Continuously monitor and improve search performance and user experience.

-Stay up to date with the latest industry trends and best practices in search technologies and

AI/ML.

-Participate in Agile development processes and contribute to product thinking and design.

Additional Skills:

-Strong problem-solving skills and ability to work in a fast-paced environment.

-Excellent communication and collaboration skills.

• Experience working in agile development environments.

-Ability to think from a product perspective and contribute to product design and strategy.

• Knowledge of CI/CD pipelines and DevSecOps practices.

-Familiarity with version control systems like Git.

Minimum Qualifications

• -Bachelor's or master's degree in Computer Science, Engineering or relevant field

• 4+ years relevant work experience in search solution development and optimization

• -4+ years of working experience in B2B or B2C e-commerce search/recommendations and

• personalization, with a preference for B2B

• Proven experience with AI/ML technologies for relevancy ranking, recommendations and

• personalization

• -Strong understanding of data structures, algorithms and software design principles

• -Experience operating in large sized teams and technology engagements

• -Experience building and maintaining websites including working with content management

• platforms