Senior Anti-Bot / Scraping Engineer (EU Applicants Only)

Openkrill

United States

À distance

USD 140 000 - 190 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Stock Options
Remote-first
Home Office Stipend

Résumé du poste

Adthena is a leading AI-powered paid search intelligence platform. We design and operate large-scale scraping systems to deliver accurate, timely data from Google and other protected sites. This Senior Anti-Bot Engineer role focuses on building robust pipelines, adapting to changing page structures, and ensuring data trust at scale.

Remote-first with EU remote options and global teams. Exciting career growth, autonomy, and a culture that rewards practical problem-solving in fast-changing

Qualifications

  • Experience with Python and production-grade scraping systems.
  • Experience scraping Google or similarly protected platforms.
  • Understanding of HTTP, TLS, cookies, headers, redirects, and browser networking behaviour.
  • Experience with browser automation tools (Playwright, Selenium, Puppeteer).
  • Strong knowledge of HTML parsing, DOM traversal, and data extraction techniques.
  • Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems.
  • Comfortable 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.

Responsabilités

  • Design and maintain large-scale Python scraping systems that operate reliably against Google and other highly defended websites.
  • Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches.
  • Continuously adapt to changes in page structure, request flows, and anti-automation mechanisms.
  • Engineer robust extraction pipelines that prioritise data accuracy, consistency, and observability.
  • Implement proxy, fingerprinting, and request-routing strategies to maximise stability and throughput.
  • Monitor scrape health, detect failures early, and rapidly debug production issues.
  • Optimise performance, cost, and latency across scraping infrastructure.
  • Work closely 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.

Connaissances

Python
GoLang
Rust
JavaScript
Browser automation
Web scraping
HTTP networking
Asynchronous programming
Debugging
Fingerprinting

Outils

Playwright
Selenium
Puppeteer

Description du poste

OUR MISSION

Join us in shaping the future of paid search intelligence.

Adthena is an award-winning search intelligence platform powered by patented AI technology and a team of dedicated experts. We help brands, marketers, and agencies dominate their competitive landscapes with unparalleled insights into the paid search market. Our Whole Market View, Smart Monitor, and Local View solutions give clients the clarity to optimize spend, increase ROI, and stay ahead of the competition.

Trusted by global brands like Citibank, L’Oréal, and Volvo, and backed by Updata Partners, we’ve been redefining search intelligence since 2012.

In 2025, Adthena continued its winning streak, earning 8 major search industry awards. Highlights include Best AI Search Software Solution at the US Search Awards, Best Search Software Tool at the European Search Awards, and Best Software Innovation at the Global Search Awards.

Ready to make an impact in an industry-leading company? Let’s do it together.

WHY JOIN US?

We offer the best of both worlds: the maturity of a well-established company combined with the energy, agility, and impact of a scaling tech organisation.

We’re smaller than large-scale enterprises, offering more autonomy, less red tape, and accelerated growth.

Here’s what we offer:
  • Startup Engineering culture
  • Strong Culture: Our quarterly surveys show a 93% average approval rating for company culture, with an overall eNPS of 27.
  • Award-Winning Product: US 2025 Search Awards for Best AI Search Software Innovation
  • Stock Options: Our employees do incredible work, so as we grow, everyone shares the rewards.
  • Trust-Based Vacation: Take as much time off as you need, when you need it.
  • Remote-First: 52% of Adthenian’s work fully remote, with others choosing Hybrid Work at our 3 Geohubs (London, Austin, Sydney).
  • Flexible Work: Work how and where you do your best, with full autonomy over your day.
  • Career Growth: Bespoke training and career development via "Sherpa plans” to guide your growth.
  • Monthly Hackdays & Training Days
  • Family Care Package: Up to 6 months fully paid maternity leave, and 2 months paternity leave.
  • Home Office Stipend: $200 for your ideal remote setup.
  • Swag Welcome Gift: $70 credit to grab some merch.
  • Birthday Day Off: Celebrate your special day.
  • Regular Socials: Summer & Christmas parties, annual and quarterly offsites, monthly meet-ups. See here for more info.
  • Volunteer Days: Make a difference with paid volunteer time each quarter. See here for more info.
About the Role

Reporting to: Michal Gondar, Head of Engineering

Location: EU Remote (Please note, we can only accept applicants who are based in line with our remote hiring strategy: Spain, Italy, Portugal, Romania, Hungary, Czech Republic, Poland, Serbia, Lithuania, Bulgaria, Estonia, Latvia, Cyprus and Greece)

Interviews: 2 Stages

Start Date: ASAP

What you’ll do at Adthena

As a Senior Anti-Bot Engineer, you will design, build, and operate large-scale, resilient web scraping systems, with a strong focus on Google and Google-like search environments.

This role sits at the intersection of data engineering, reverse engineering, and systems reliability, and is critical to delivering accurate, timely, and trustworthy data at scale.

You will work on complex scraping problems where naïve approaches do not work, including dynamic rendering, anti-bot defences, frequent markup changes, and high-volume data collection.

We are leaders in adopting coding with AI tools. The role is ideal for someone who believes in agentic coding and would like to improve their skills.

Responsibilities
  • Design and maintain large-scale Python scraping systems that operate reliably against Google and other highly defended websites
  • Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches
  • Continuously adapt to changes in page structure, request flows, and anti-automation mechanisms
  • Engineer robust extraction pipelines that prioritise data accuracy, consistency, and observability
  • Implement proxy, fingerprinting, and request-routing strategies to maximise stability and throughput
  • Monitor scrape health, detect failures early, and rapidly debug production issues
  • Optimise performance, cost, and latency across scraping infrastructure
  • Work closely 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
Required Experience:
  • Strong professional experience with Python (or another main language, i.e. GoLang, Rust, 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 tools such as 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
Nice To Have:
  • Familiarity with containerisation and orchestration, such as Docker and Kubernetes
  • Experience with distributed task systems and job queues
  • Background in data quality monitoring and anomaly detection
  • Experience working with search, advertising, or competitive intelligence data
What We Value
  • Pragmatic problem-solving in hostile and fast-changing technical
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