Software Engineer, Search Infrastructure

Notion is looking for talented engineers to help build the next generation of our search infrastructure. This team is responsible for ensuring that all of the content that our users keep in Notion is available for search. You will provide the bedrock of our search and AI functionality by ensuring that our indexing systems and search clusters are comprehensive, instantaneous, and correct. You’ll denormalize, preprocess, and index any and every type of Notion comment that our users might find useful. You’ll find opportunities up and down the stack to maintain Notion’s stunningly quick indexing latency. You’ll drive us towards correctness and consistency, ensuring that every change in the application is reflected in our search indices. You’ll scale our search infrastructure up and out, owning both the hardware and the configurations of our indices. You’ll drive us to a best-in-class position when it comes to user privacy, security, and Enterprise-level features. You’ll own our feature-store infrastructure, making it easy for multiple teams to make high-value information quickly and cheaply available. You’ll work with product engineers across the organization, consulting on data modeling and ingesting new types of content. Skills You'll Need to Bring: You have experience in backend engineering; data infrastructure; search infrastructure; queueing systems; at-least-once message delivery; multi-stage data pipelines; or distributed systems. You have a track record for shipping scalable and reliable user-facing products. You thrive when collaborating cross-functionally — especially with product, design, infrastructure or data teams. You have a computer science background or equivalent technical experience. Nice to Haves: You have experience building full-text search using, e.g: Lucene, Elasticsearch, Solr. You have experience with designing, building and maintaining complex distributed systems. You have experience with large scale data processing technologies, e.g: Spark, Flink, Kafka, Airflow, YARN/Hadoop. You have tuned the throughput of a complex asynchronous system. You have worked at a fast-growing start-up, a SaaS company, or are eager to contribute in such an environment (being a current Notion user would be great!). You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated base salary range for this role is $220,000 - $260,000 per year. Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day).