Requirements

8+ years of experience building backend or distributed systems
Strong Go or C++ expertise
Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines)
Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction
Experience operating production systems and debugging failures in distributed environments
Strong understanding of scalability, fault tolerance, and resource management

Nice to Haves

Experience with web crawling
Building streaming data pipelines and event-driven systems
Experience with Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms
Designing distributed schedulers, queues, and asynchronous processing systems
Experience with Spark, Flink, Beam, or MapReduce
Background in ad tech, social networks, search engines, or other large-scale content platforms

Design, implement, and operate web-scale crawling systems for acquiring content from the internet
Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations
Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies
Build systems for URL discovery, deduplication, content extraction, and crawl orchestration
Ensure reliable operation of crawling infrastructure under high-throughput conditions
Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality
Monitor resource usage, bandwidth consumption, and infrastructure cost
Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements
Enable safe experimentation with crawling strategies and content acquisition policies