Clera
Scraping Engineer
About this role
Join an AI startup as a Scraping Engineer responsible for maintaining and scaling a high-volume web extraction infrastructure processing millions of pages daily. You'll build scraping scripts, debug production issues, validate data quality, and collaborate with AI systems to keep the data pipeline reliable and accurate.
What you'll do
- Maintain triage queue and resolve broken scrapers and data quality alerts
- Build and deploy new web scraping scripts across various websites
- Validate scraped data for accuracy and investigate discrepancies
- Create real-time dashboards to monitor scraped data
- Debug and fix production scraping issues
- Collaborate with AI agents to improve scripts and fill capability gaps
What they're looking for
- TypeScript and Node.js
- Web scraping and browser automation (Puppeteer or similar)
- SQL for data querying and validation
- Message queues (RabbitMQ)
- Redis or in-memory caching systems
- Google Cloud Platform
- Bash scripting and git
- gRPC
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Describe your experience debugging a broken scraper in production and how you identified the root cause.
- How would you approach building a scraper for a website with dynamic content and JavaScript rendering?