Backend Software Engineer, Shopping Graph

About Slickdeals:

On a mission to bring the joy of discovering a great deal to shoppers, Slickdeals thrives on the active participation of its 12-million-strong community. Users share, upvote, and uncover the best prices on popular products from trustworthy brands.
With a robust track record of 24 years in business, marked by profitability and a thriving community that has saved more than $10 billion, Slickdeals is currently undergoing a transformation. As we evolve into a daily shopping destination for millions more, joining Slickdeals presents an exciting opportunity for entrepreneurially-minded builders to create an innovative deal discovery platform.

The Purpose:

At Slickdeals, our mission is to make high-quality merchandise affordable for everyone. Technology plays a pivotal role in our efforts to discover and present the best online deals to our customers. The Shopping Graph team builds AI-enhanced platforms to construct a knowledge graph encompassing premium brands, merchants, and products on the internet. The Shopping Graph connects shoppers with products. It consolidates information from various shopping sources, allowing consumers to access comprehensive details about a product – including where to purchase it, pricing details, related videos, reviews, and its practical impact on their lives. In this role, you will play a pivotal part in shaping and executing our overall architecture and strategy, working with cutting-edge technologies like building large scale data pipelines, generative AI and graph data storage. You will collaborate with a highly skilled team of engineers, and your contributions will directly impact our ability to acquire, enrich, and deliver high-quality content to consumers.

What You'll Do:

• Architect and Develop Backend Systems: Collaborate closely with product managers to drive product innovations, design, develop, and maintain robust, scalable data systems, and data pipelines.
• Data Curation and Data Intelligence: Retrieve and scrape data from the public internet, classify, transform and curate raw data into structured and usable formats. Implement code to clean augment data and derive insights from data.
• Performance Optimization: Continuously optimize our backend systems for speed, efficiency, and scalability
• Collaboration: Collaborate with cross-functional teams including product managers, data analysts, and domain experts to understand their requirements and deliver actionable insights
• Quality Assurance: Implement best practices for quality monitoring, validation, and error handling to ensure data accuracy and reliability
• Documentation: Maintain comprehensive documentation for our systems and  processes, making it easy for team members to understand and use.
• Stay Current: Keep abreast of emerging technologies and industry best practices.

What We're Looking For: