About the job
We are looking for a Senior Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems.
Responsibilities
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
Qualifications
Minimum
5+ 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
Preferred
Web crawling
Building streaming data pipelines and event-driven systems
Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms
Designing distributed schedulers, queues, and asynchronous processing systems
Spark, Flink, Beam, or MapReduce
Ad tech, social networks, search engines, or other large-scale content platforms