Associate Software Engineer – Web Scraping

About the role

SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt.

As an Associate Software Engineer on our web scraping team, you will work on the real-time scraping platform behind SEON's data enrichment products. Our enrichment APIs answer questions about an email address, phone number or IP in real time, which means our data collection runs on the live request path, under a tight latency budget, against a large and constantly changing set of public sources.

This is a role for someone early in their career who wants to go deep on a hard technical problem. You will own real scrapers in production, with a senior engineer as a mentor and structured code review as a default.

You will join the data collection side of the Data Enrichment team, working closely with backend engineers, Product Management and infrastructure specialists. This role reports into the Engineering Manager of the Data Enrichment Crawler Team.

What You'll Do:

- Write production-quality, well-tested scraper code in Python that needs little rework after review, including comprehensive unit and integration tests written with minimal guidance.

- Learn the architecture of our collection platform — how scrapers, proxy layer, queues and the enrichment API fit together — and read our design docs and ADRs to build that intuition before you're asked to produce designs yourself.

- Debug issues across a few components with guidance, including problems that originate outside your own code, using our logging, monitoring and alerting tools to investigate.

- Work with our proxy infrastructure: understand selection and rotation, and help recover from blocks.

- Take part in incident response by following established processes and documenting what you find, and learn from every incident you're part of.

- Build depth in reliability engineering: SRE practices, resilience patterns and observability platforms, applied to a system where upstream sources fail constantly and unpredictably.

- Deliver at a steady, predictable pace with minimal back-and-forth on requirements, breaking work into small increments that get reviewed and merged quickly rather than sitting in long-lived branches.

- Understand our build, test and deployment pipeline end-to-end, automate the repetitive manual steps in your own workflow, and raise process friction with concrete suggestions rather than working around it.