Über
Caterpillar Inc. is a global team dedicated to innovation and building sustainable communities. The Senior Software Engineer – Content Search will drive the success of advanced search solutions by contributing to their strategic direction and hands-on implementation, focusing on building scalable, high-performance search platforms to enhance user experiences in eCommerce initiatives.
Responsibilities : • 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.
Qualifications : Required : • 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, Web information parsing solutions. • 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. • 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 with 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.
Company :
For 100 years, we’ve been helping customers build a better, more sustainable world. Founded in 1925, the company is headquartered in Peoria Heights, USA, with a team of 10001+ employees. The company is currently Late Stage.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.