Elasticsearch Engineer

Hiring Machine; Indiana (PA); Remote; USD 110,000 - 176,000; Full time

Job summary

A leading company is seeking an Elasticsearch Engineer to enhance search strategies and data integration for a major digital marketing client. The role involves optimization of indexing, collaboration on AI projects, and ensuring high-performance search outcomes, with a focus on innovative solutions in the e-commerce sector.

Qualifications

• In-depth knowledge of Elasticsearch core concepts.
• Proven experience with advanced query types and boosting strategies.
• Strong proficiency in PHP for building search-related scripts.

Responsibilities

• Design and optimize Elasticsearch indexing for over 1,500 websites.
• Enhance keyword relevance using advanced Elasticsearch queries.
• Develop PHP scripts for data integration with Elasticsearch.

Skills

Elasticsearch

PHP

SQL

AI APIs

Data Modeling

Job description

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Job Title: Elasticsearch Engineer
Employment Type: Full-time
Work Setup: Remote

Important Notice: If you apply, please regularly check your email over the next 48 to 72 hours, as we will update you via that medium.

Job Description:

Our client, EZ-AD is seeking an Elasticsearch Engineer to join its team! As a key player in the digital marketing and e-commerce industry, EZ-AD is renowned for its innovative software solutions that support business growth globally. This position offers an opportunity to design and optimize search strategies, enhance data integration, and collaborate on AI-driven improvements. Does this sound aligned with your profile?

Responsibilities:

• Design and optimize Elasticsearch indexing for 1,500+ websites to ensure relevant search results.
• Enhance keyword relevance using advanced Elasticsearch queries and boosting techniques.
• Fine-tune analyzers, tokenizers, and filters for improved search precision and recall.
• Explore complementary technologies to address Elasticsearch limitations and boost performance.
• Develop PHP scripts for seamless integration with Elasticsearch APIs.
• Build PHP solutions to preprocess and enrich product data before indexing.
• Use AI APIs to generate synonyms and optimize product data metadata.
• Test AI-driven enhancements to improve search accuracy and user satisfaction.
• Collaborate with AI teams to integrate machine learning for dynamic query rewriting.
• Refine product data in SQL databases to align with Elasticsearch indexing.
• Develop scripts for data synchronization between SQL databases and Elasticsearch.
• Manage staging and test environments to evaluate search performance.
• Conduct A/B testing and analyze metrics to iteratively improve search results.
• Monitor Elasticsearch cluster health and scalability for high-volume traffic.
• Implement logging and analytics to track and improve search performance.

Requirements:

Hard Skills:

• In-depth knowledge of Elasticsearch core concepts, including indexing, mappings, analyzers, and query DSL.
• Proven experience with advanced query types (e.g., match, phrase, prefix, range, compound queries) and boosting strategies.
• Familiarity with Elasticsearch limitations and workarounds, such as handling high-cardinality data or optimizing for large-scale deployments.
• Strong proficiency in PHP for building and maintaining search-related scripts and integrations.
• Experience integrating AI APIs (e.g., OpenAI, Google NLP, or similar) for text processing, synonym generation, or keyword optimization.
• Proficiency with SQL databases for managing product data and ensuring data consistency.
• Experience with data modeling and optimization for search applications.
• Experience setting up staging and test environments for search experimentation.

Nice to Have:

• Experience in e-commerce or retail search applications, particularly in hardware or B2B contexts.
• Knowledge of additional search technologies (e.g., Solr, OpenSearch) for comparative insights.
• Understanding of SEO principles to align search results with organic traffic goals.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for managing Elasticsearch deployments.

Soft Skills:

• Strong ability to diagnose and resolve search relevance issues using data-driven approaches.
• Comfortable working with large datasets and complex systems.
• Ability to work with cross-functional teams, including AI engineers, database administrators, and front-end developers.
• Clear documentation and reporting skills to communicate findings and recommendations.

We look forward to receiving your application and connecting with you soon! Thank you very much!

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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