Senior Digital Tech Support Engineer

• 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.

• 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 Git Hub.
• 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 Open Search, Elastic Search, SOLR, Lucene, Coveo, and Lucid Works 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 Git Hub Copilot.
• Familiarity with Dev Ops 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.