Lead Software Engineer

• Technical Strategy: Define and implement a long-term technical vision for the search platform to ensure scalability and adaptability to growing data volumes and query complexity.
• Team Leadership: Mentor and guide a team of search engineers through technical reviews, best practices, and collaborative problem-solving.
• Feature Development: Introduce advanced capabilities such as NLP, vector search, and personalization to enhance relevance and accuracy.
• Data Analysis & Optimization: Build search capabilities with measurable KPIs (e.g., CTR, Query Distribution, Zero Search) and leverage analytics to continuously improve search performance.
• Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to align search initiatives with business objectives

Considerations For Top Candidates:

• Progressively complex professional experience.
• Experience as a lead software engineer, Architect , engineering manager.
• Experience leading technical teams and managing multiple projects simultaneously.
• Experience working within ITSM processes (incident, change, problem).
• Strong communication, organization, and stakeholder management skills.
• Ability to handle sensitive, complex, or high-visibility issues.
• Excellent written and verbal communication abilities.

Technical expertise required for the role

• Experience in eCommerce Search deployments.
• Previous experience with Search products such as OpenSearch, Elastic Search, SOLR, Lucene, Coveo, and LucidWorks Fusion.
• Strong expertise in building head-less frameworks to integrate with ecommerce applications
• Distributed Systems: Proven experience building large-scale, highly available systems.
• Programming:
  • 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
• Data Technologies: Familiarity with event streaming and cloud platforms.
  • Machine Learning: Practical experience applying ML to improve search relevance.