Senior Anti-Bot/Scraping Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Adthena

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

🤖 Artificial Intelligence

📣 Marketing

☁️ SaaS

Artificial Intelligence • Marketing • SaaS

Adthena is a company specialized in providing AI-driven search intelligence and brand protection solutions for enterprises. Their platform offers a comprehensive suite of tools that includes market analysis, PPC campaign optimization, and strategic insights. Adthena helps brands to dominate Google Ads performance by uncovering industry-specific market trends and optimizing advertising spend efficiency. With their unique combination of patented technology and expertise in paid search intelligence, Adthena enables organizations to make informed decisions and improve their return on advertising spend. They serve various industries including automotive, finance, and retail, and are trusted by leading global brands and agencies.

📋 Description

• Design and maintain large-scale Python scraping systems operating reliably against Google and other highly defended websites • Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches • Adapt continuously to changes in page structure, request flows, and anti-automation mechanisms • Engineer robust extraction pipelines prioritising data accuracy, consistency, and observability • Implement proxy, fingerprinting, and request-routing strategies to maximise stability and throughput • Monitor scrape health, detect failures early, and debug production issues • Optimise performance, cost, and latency across scraping infrastructure • Collaborate with data engineers, data scientists, and product teams to ensure scraped data is usable and trusted • Document scraping logic and operational runbooks for long-term maintainability • Report to the Head of Engineering

🎯 Requirements

• Strong professional experience with Python or another main language such as GoLang, Rust, or JavaScript, including production-grade scraping systems • Deep hands-on experience scraping Google or similarly protected platforms • Solid understanding of HTTP, TLS, cookies, headers, redirects, and browser networking behaviour • Experience with Playwright, Selenium, Puppeteer, or equivalent browser automation frameworks • Strong knowledge of HTML parsing, DOM traversal, and data extraction techniques • Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems • Comfortable working with asynchronous and concurrent scraping architectures • Experience running scrapers at scale in cloud environments • Strong debugging skills and ability to reason about complex failure modes • Experience with headless browser fingerprinting and anti-bot evasion techniques • Familiarity with Docker and Kubernetes • Experience with distributed task systems and job queues • Background in data quality monitoring and anomaly detection • Experience with search, advertising, or competitive intelligence data • Ability to explain complex technical behaviour clearly to non-specialists • UK work authorization is requested in the application form

🏖️ Benefits

• Stock options • Trust-based vacation • Remote-first work • Flexible work • Career development and bespoke training via “Sherpa plans” • Monthly hackdays and training days • Up to 6 months fully paid maternity leave • 2 months paternity leave • $200 home office stipend • $70 swag welcome gift credit • Birthday day off • Summer and Christmas parties • Annual and quarterly offsites • Monthly meet-ups • Paid volunteer time each quarter • Startup engineering culture