Title: Principal Search Engineer OR Lead Search Engineer / Search Platform Architect
Location: Chicago, IL, Dallas, Peoria, Broomfield (Onsite)
Duration:12+ Months Contract
Job Description
eCommerce is a key digital enabler to Caterpillar's aftermarket parts and services growth strategy. Delivering on the Caterpillar brand promise of premium, high-quality solutions is an important element in accelerating the development and deployment of Caterpillar's expanded capabilities in eCommerce.
Position's Contributions to Work Group:
The Lead Software engineer Ecommerce Search is responsible for setting the technical direction and overseeing the execution of advanced search solutions.
This role combines strategic vision, hands-on technical expertise, and leadership to build scalable, high-performance search platforms that deliver exceptional user experiences.
Education & Experience Required:
Bachelor's or master's degree in computer science or related field.
10+ years' experience in total but with 7+ years of experience in search engineering.
Also required are 3+ years in a technical leadership role.
Required Technical Skills
(Required)
Strong understanding of modern search technologies and frameworks.
Working experience with heavy equipment engineering or data analysis.
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.
Typical task breakdown:
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.
o Team Leadership: Mentor and guide a team of search engineers through technical reviews, best practices, and collaborative problem-solving.
o Feature Development: Introduce advanced capabilities such as NLP, vector search, and personalization to enhance relevance and accuracy.
o Data Analysis & Optimization: Build search capabilities with measurable KPIs (e.g., CTR, Query Distribution, Zero Search) and leverage analytics to continuously improve search performance.
o Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to align search initiatives with business objectives
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