
Backend Software Engineer - Search, Crawler Team
at Perplexity AI
Posted 12 hours ago
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Join Perplexity's Crawler team as a Backend Software Engineer, designing, building, and operating web-scale ingestion, processing, and data-management systems for advanced search tech. You will own large-scale crawlers and ingestion pipelines, work on core backend and frontend components, and build dashboards for data management. Collaborate with Search and Infrastructure teams to ensure reliable ingestion of billions of pages, and architect scalable full-stack features for high-load, real-time data operations. You will iterate and optimize system performance, usability, and reliability.
We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack.
Responsibilities
Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems.
Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management.
Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages.
Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations.
Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability.
Qualifications
Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go.
Experience with large-scale web crawlers is highly desirable.
Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services.
Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS.
Demonstrated passion for writing clean, efficient, and scalable systems.

