Join Apify on our mission to help anyone get more value from the web, so they can automate tasks and spend time on the things that matter most.

Apify downloads billions of web pages from all over the world for science, market research, and finding lost children. We give AI chatbots the context to interact intelligently, and we’re making AI agents an integral part of the Apify platform.

Apify powers web automation and AI agents for thousands of developers and companies. With that scale also comes abuse and fraud.

We’re looking for an experienced Anti-Fraud Engineer who can help us detect, prevent, and respond to fraud across the Apify platform - while keeping the experience smooth for legitimate users.

What you’ll be working on:

Design and run fraud detection systems to protect signups, payments, usage, and marketplace activity.
Build and refine risk models, rules, and signals that stop abuse in real time.
Investigate new attack patterns and deploy mitigations quickly.
Develop internal tools and processes to support incident response and investigations.
Collaborate with Product, Security, and Finance to balance safety with user experience.
Document and share playbooks for common attack types.

They say there are no perfect candidates, but you might be the one if you have:

Hands-on experience in fraud prevention or trust & safety, ideally at scale.
Strong engineering background with a focus on reliability and problem-solving.
Ability to analyze complex signals and turn them into actionable detection logic.
Proactive, practical, and comfortable taking ownership.
Good communicator who can explain trade-offs and document decisions.

Nice to have:

Familiarity with payment systems, chargebacks, or abuse prevention in SaaS/marketplaces.
Experience with identity, account integrity, or bot detection.

Our tech stack:

Frontend: React.js, styled-components, Storybook, Cypress, Playwright
Backend: TypeScript/Node.js, Next.js, Express.js, Docusaurus, Jest
Infra: AWS, Kubernetes, Helm, MongoDB, Redis, DynamoDB, S3, GitHub Actions
Monitoring: New Relic, LogDNA, Sentry, PagerDuty
Tools: GitHub, ZenHub, Notion, Google Workspace
Process: two-week sprints, code reviews, tests, automating whatever we can, and deploying multiple times per day.

Expectations:

By the end of the first 3 months, we expect you to:

Understand the Apify platform end-to-end and ship your own Actor
Ship your first detection rule or risk signal that’s actively preventing fraud
Build solid working relationships with the product team that you will be working with.
Identify the 3 highest-impact gaps in our fraud prevention and propose solutions.

By the end of the first 6 months, we expect you to:

Investigate fraud incidents independently.
Own at least two fraud vectors end-to-end (e.g., payments and account abuse)
Ship 3-5 detection improvements that measurably reduce fraud without hurting legitimate users.
Build a strong working relationship with the rest of the Product team and the Data engineering/analytics team.
Present a clear roadmap for the next 6-12 months of fraud prevention work.

Why should you work at Apify?

Space, support, and autonomy for personal growth, with a direct impact on our success
Full-time position in Prague (Lucerna Palace) or Brno (Titanium) 🏰
Option to work remotely 🛋️
Flexible working hours (perfect for both night owls 🦉 and early birds 🐥)
Nobody counts holidays as long as the work gets done 💪
Stock options and profit sharing 💰
We welcome pets, kids, and bikes at the office 🐕👨‍👧
Epic team buildings and offsites 🚢 with biking, canoeing, and other adventures 🪂
Solid education and training budget, conference tickets, internal “Eat & Learn” sessions, and the possibility to work across teams 👩🏼‍💻👨🏽‍💻
Generous hardware budget 💻
Free lunches every day when you’re in the office 🌮🍱🍜🍕🥡
Unlimited supply of ☕ & 🍺 and snacks
Free entry to the wonderful Prague Zoo 🐘
Free Multisport card 🏋
Ping-pong, chess, PS5, lightsabers, foosball league after lunch.

For more details about Apify and what it is like to work with us, see our Careers page.

Senior Anti-Fraud Engineer