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.
Use an AI coding assistant as a regular part of your workflow, applying verification proportionate to the task and risk, and run small experiments on prompts and tooling — documenting what works and what doesn't so teammates can reuse it.
Take part in code review in both directions, and help onboard newer teammates by pairing and reviewing their work as you find your footing.
What You Bring
Around 1–2 years of professional software engineering experience, or a strong portfolio of internships, personal projects or open-source work. Solid Python matters most.
Some hands-on exposure to web scraping or automated data collection, even if it was coursework or a side project.
Working understanding of HTTP and networking fundamentals: requests and responses, headers, status codes, TLS at a conceptual level, what a proxy does.
Comfort writing tests and working in a code-review culture with Git.
Basic comfort with Docker; willingness to learn Kubernetes on the job.
Regular use of at least one AI coding assistant, and curiosity about getting more out of it.
The habit of reading release notes, docs and engineering blogs for the languages and frameworks you use, and asking about unfamiliar patterns rather than copying them blindly.
Realistic self-assessment on timelines: you check with teammates before committing to a deadline, and you raise blockers with context rather than just flagging that you're stuck.
Ownership of the outcome rather than the ticket, and a habit of surfacing problems and mistakes early.
Willingness to argue for the customer's perspective when the technically convenient option would degrade the product.
Openness to picking up Java/Spring, which is where the platform is heading.
Strong collaboration and communication skills, adapted to the audience; fluent in English.
Amazing if You Also Have
Any exposure to scraping or browser automation tooling: Playwright, Selenium, Puppeteer, Scrapy, or low-level HTTP clients.
Any exposure to cloud infrastructure (ideally AWS) or infrastructure as code.
Familiarity with monitoring tools such as Grafana, Prometheus, Kibana or InfluxDB.
Exposure to CI/CD pipelines, especially GitHub Actions.
Any experience with Elasticsearch, Redis or DynamoDB.
Interest in fraud prevention, trust and safety, or another domain where data freshness is a product requirement.
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SEON is an equal opportunity employer. We strive to embrace what makes each one of us unique; we each have our own story. Whether looking at our current staff or future team members, we believe that everyone has something to contribute, and our employment practices reflect that. We do not make an employment decision based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Please let your recruiter know if you need reasonable adjustments to our recruitment process.
