Member of Technical Staff (Backend Software Engineer, Search Crawler)

Job details

Work model

On-site

Salary

Not listed by source

Location

Belgrade

Other jobs from this company

How this role compares at Perplexity

Perplexity has 120 live roles in MeritLog’s job list across 13 job types, and 38 of them are in engineering. 105 of those jobs list a pay range. That is 88%.

These counts use the job boards we track and were checked when this page loaded. We compare only full pay ranges in the same currency and time period.

Job description

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.

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