Web scraping and proxy infrastructure for data collection at scale
Oxylabs operates a large-scale data infrastructure business built on Python, Go, and Kubernetes, handling 60+ petabytes of monthly traffic. The tech stack (Kafka, Elasticsearch, Prometheus, GCP/AWS/Azure multi-cloud) reflects a mature, distributed systems operation. Hiring mix skews engineering-heavy (25 engineers vs. 15 sales), with active projects spanning backend scraping solutions, SEO strategy, and AI chatbot refinement—indicating they're expanding beyond pure infrastructure into higher-margin application layers.
Notable leadership hires: Scraping Tech Lead
Oxylabs provides web scraping services and proxy infrastructure for enterprises needing large-scale public data collection. The company sells into market research, ad verification, brand protection, pricing intelligence, and travel fare aggregation use cases. Operating since 2015 with 201–500 employees across Lithuania, Poland, China, India, Taiwan, and Malaysia, Oxylabs manages one of the market's largest ethical proxy networks. Core challenges center on maintaining reliability and performance at petabyte scale while automating internal finance workflows and reducing legal surface area.
Oxylabs runs Python, Go, Kubernetes, Docker, Kafka, and Elasticsearch. They deploy across GCP, AWS, and Azure. Monitoring uses Prometheus and Grafana; frontend uses React and TypeScript. No recent tech migrations detected.
Vilnius, Lithuania. The company hires across Lithuania, Poland, China, India, Taiwan, and Malaysia, indicating distributed operations and nearshore talent acquisition.
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