Senior Digital Tech Support Engineer

Jobtailor; Illinois; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor in United States (Illinois) is seeking a senior search engineer to drive the long-term vision of our search platform, focusing on scalability and low-latency performance. You will collaborate with product managers, data scientists, and engineers to deliver NLP, vector search, and personalization features that improve relevance.

Strong leadership and communication are essential as you guide cross-functional teams in an Agile environment.

Qualifications

• Bachelor’s or master’s degree in CS or related field.
• 5+ years in search engineering.
• 2+ years in a technical leadership role.
• Strong understanding of modern search technologies and frameworks.
• Experience building low-latency API in AWS with memory-storage solutions.
• Familiarity with A/B testing frameworks.
• Strong knowledge of cloud technologies (AWS, Azure, GCP).
• Advanced experience with GitHub and version control.
• Experience operating in an Agile/Global team.
• Experience with OpenSearch, ElasticSearch, SOLR, Lucene, Coveo, LucidWorks Fusion.
• Strong crawlers and web parsing experience.
• Proficiency in Java, Python, or Scala.

Responsibilities

• Define and implement the long‑term technical vision for the search platform.
• Participate in technical reviews, share best practices, and collaborate with search engineers.
• Assist in developing NLP, vector search, and personalization features.
• Support KPIs and use analytics to optimize search performance.
• Work with product managers, data scientists, and engineering teams to align search with business goals.

Skills

Search engineering

Java/Python/Scala

OpenSearch

ElasticSearch

Cloud platforms

API development

DevOps practices

ML for search relevance

Web crawlers parsing

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

OpenSearch

ElasticSearch

SOLR

Lucene

Coveo

LucidWorks Fusion

GitHub

AWS

Azure

Google Cloud

Job description

• Contribute to defining and implementing the long‑term technical vision for the search platform, supporting scalability and adaptability as data volumes and query complexity increase.
• Participate in technical reviews, share best practices, and collaborate with search engineers to solve technical challenges as part of the team.
• Assist in developing advanced features such as NLP, vector search, and personalization to improve relevance and accuracy.
• Support the creation of search capabilities with measurable KPIs (e.g., CTR, Query Distribution, Zero Search) and use analytics to help continuously optimize search performance.
• Work closely with product managers, data scientists, and engineering teams to align search efforts with business goals.

Requirements

• Bachelor’s or master’s degree in computer science or related field.
• 5+ years of experience in search engineering.
• 2+ years in a technical leadership role.
• Strong understanding of modern search technologies and frameworks.
• Working experience with building low‑latency API in AWS using memory‑storage solutions.
• Familiarity with A/B testing frameworks for evaluating and improving.
• Strong knowledge of cloud technologies (AWS, Azure, Google Cloud, etc.)
• Advanced experience with version control repositories such as GitHub.
• Experience operating in an Agile / Global team environment.
• Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
• Experience in web content / large content search solutions.
• Previous experience with search products such as OpenSearch, Elastic Search, SOLR, Lucene, Coveo, and LucidWorks Fusion.
• Strong expertise in building crawlers and web information parsing solutions.
• Proven experience building large‑scale, highly available systems.
• Proficiency in Java, Python, or Scala, including source control tools and practices for managing code and changes to it.
• Proficiency in software debugging and problem‑solving techniques.
• Proficiency in AI code generation tools such as Claude Code, ChatGPT, or GitHub Copilot.
• Familiarity with DevOps tools and techniques for cloud deployment.
• Producing and consuming APIs.
• Familiarity with event streaming and cloud platforms.
• Practical experience applying machine learning to improve search relevance.

Demonstrates expertise in search engineering with a strong focus on modern search technologies, cloud platforms, and advanced feature development. Proven ability to lead technical initiatives, optimize search performance, and collaborate effectively with cross‑functional teams.