Senior Staff Software Engineer, Indexing – Retrieval Platform

🕒 Abril 23

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $279.200 - $390.900 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Reddit, Inc.

Reddit, Inc.

501 - 1000 funcionários

Fundada em 2005

👥 B2C

📱 Mídia

🌍 Impacto Social

B2C • Media • Social Impact

Reddit, Inc. é uma plataforma de mídia social que funciona como um hub para milhares de comunidades, onde os usuários podem participar de conversas diversas, que vão de notícias de última hora a interesses de nicho. Ela permite que usuários publiquem, comentem e votem em conteúdos, fomentando uma comunidade online vibrante. Milhões de pessoas no mundo todo se conectam e compartilham suas paixões no Reddit, criando um ambiente dinâmico para interações humanas autênticas.

Descrição

• Lead the technical strategy, architecture, and implementation of Reddit’s next-generation ML Indexing & Retrieval engine, integrating capabilities across lexical and vector indexing, low-latency retrieval, and emerging GenAI applications. • Partner closely with product engineers across Content Understanding, Search, Feeds, Ads, Growth, and Safety to deliver high-quality experiences. • Define best practices for observability, reliability, and operational excellence in large-scale distributed systems. • Mentor and guide engineers in designing scalable infrastructure and adopting robust DevOps and SRE principles. • Collaborate with infrastructure, and ML teams to ensure the platform evolves to meet the needs of Reddit’s growing user base and diverse content ecosystem.

🎯 Requisitos

• 10+ years of experience in software engineering, specializing in Indexing and Retrieval systems. • 3+ years in technical leadership, architecting and scaling distributed systems in production environments. • Deep expertise in large-scale data platforms, including batch indexing and stream processing. • Proven experience designing and operating large-scale, low-latency retrieval services. • Expertise in lexical and vector search retrieval technologies, such as Milvus, Vespa, or Elasticsearch. • Skilled in designing cloud-native architectures and managing containerized workloads using Kubernetes and AWS/GCP. • Adept at translating complex technical challenges into clear, actionable strategies. • Strong communicator and mentor who leads through collaboration, influence, and technical excellence.

🏖️ Benefícios

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave

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