Build, extend, and support our backend platforms to support prototyping, testing, and scaling our Search systems. Work closely with product-focused backend engineers on the team to build efficient systems for Search Annotations, Recall, and LLM-backed search experiences in general. Team up with other engineering groups, such as Ads and Market Engineering, to build cohesive backend systems that support our shared visions. Contribute to our next gen, smarter search roadmap, vision, and execution.
Fluency in an object-oriented language (like Python or Java). Experience with databases (SQL and NoSQL), Unix, developing within a Continuous Integration/Deployment pipeline. Proficient in AWS services such as S3, Glue, Athena. Skilled in building and supporting large-scale distributed systems that back a consumer app or website. Expertise in building effective APIs (like REST or GraphQL). Comfortable with performance analysis tools (e.g. tracers, profilers, debuggers, visualization tools). Capable of working and coordinating requirements across teams. Excellent documentation skills. Interest or experience in developing infrastructure supporting data-intensive applications.
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