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!

Requirements:

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.