Clera
Scraping Engineer
About this role
Join a fast-growing AI startup as a Scraping Engineer responsible for maintaining and scaling a web extraction infrastructure that processes millions of pages daily. You'll monitor production scrapers, build new extraction scripts, validate data quality, and collaborate with AI agents to keep the pipeline running reliably.
What you'll do
- Monitor and triage broken scrapers and data quality alerts to maintain uptime
- Build and deploy new web scraping scripts for additional websites
- Validate scraped data for accuracy and investigate discrepancies
- Create real-time dashboards to visualize and monitor extracted data
- Collaborate with AI agents to improve scripts and resolve issues
- Debug and fix failing scrapers in production environments
What they're looking for
- TypeScript and Node.js
- Web scraping and browser automation (Puppeteer)
- SQL for data querying and validation
- Message queues (RabbitMQ) and caching (Redis)
- Google Cloud Platform and BigQuery
- Bash scripting and git
- Data quality validation
- Dashboard/visualization development
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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—what was the issue and how did you resolve it?
- How would you approach building a new scraping script for a website with dynamic JavaScript-heavy content?