Student Automation Engineer

Come [legally] hack with us the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every second.

Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP-volumes of traffic, sub-second predictions, and TBs of live, real-world data. Use cutting-edge analysis, ML and engineering, or just plain hacker-like thinking to out-perform the market.

Arpeely is a Data-Science startup, leveraging, data analysis, ML, engineering, and multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 1,000,000 requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges.

We are looking for a Student Automation Engineer to join our all-star team.

What You’ll Do:

• take ownership of automating and testing internal systems to ensure seamless operation and robust performance across various platforms.
• Immerse yourself in a dynamic environment focused on data, automation, and system optimization in a fast-paced, high-scale setting.
• Collaborate closely with developers, data scientists, and product teams to gain a deep understanding of our systems, identifying automation opportunities that enhance workflows and deployment processes.
• Contribute to the deployment and configuration of web assets.
• Stay at the forefront of technology, leveraging the latest trends and tools to maintain a competitive edge and drive continuous improvement.

If you are hungry to learn - we’d love to have you on our team!

• Currently pursuing a B.Sc. in Computer Science or a related field, ideally in the third year of studies, with at least one year remaining until graduation.
• Some experience in the web domain—this can include projects from academic studies, personal projects, or any other relevant experience.
• Strong knowledge of Python and TypeScript, with practical experience in coding projects or internships.
• Familiarity with automated testing frameworks, with a preference for experience using Playwright.
• Ability to quickly learn and adapt to new technologies, tools, and frameworks.
• Proactive and independent, capable of taking initiative in a fast-paced environment.
• Highly motivated.
• Strong problem-solving skills with a keen eye for detail.
• Excellent communication skills, able to articulate technical concepts clearly and collaborate effectively with team members.