About the company
Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, and Germany today. We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.
Job Summary
What you’ll do:
📍Own the performance, scalability, and reliability of our Postgres-based data layer, a mission-critical component of our infrastructure. 📍Design and implement scalable database architectures, optimizing queries, tuning indexes, and refining schemas for efficiency. 📍Drive long-term strategy for horizontal scaling, ensuring our systems grow alongside the business. 📍Ensure high availability and fault tolerance, leading database upgrades, migrations, and capacity planning. 📍Establish and promote best practices for data access patterns, security, and database operations. 📍Team members in this role are required to be within commuting distance of our San Francisco, CA, Seattle, WA, Los Angeles, CA, or New York, NY hubs.
About You
📍Bachelor’s degree in Computer Science, a related field, or equivalent work experience. 📍5+ years of relational database engineering experience; Postgres experience preferred. 📍Experience with database optimization, migrations, schema refinement, indexing, and query tuning. 📍Prior operational experience with database horizontal scaling strategies is nice to have. 📍Knowledge of NoSQL databases (DynamoDB etc). 📍Experience in a public cloud environment (AWS, GCP). 📍Previous experience at a hyper-growth startup. You’re an excellent problem solver and a self-starter who can hit the ground running with little direction. 📍Excellent ability to understand product requirements in the context of a scalable platform. You first think about users rather than the best technical solution.
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