Job Description

About Us

Come [legally] hack with us on 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 outperform the market.Arpeely is a Data-Science startup, leveraging, data analysis, ML, engineering, multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 350k 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. Arpeely is a Google AdX vendor and serves clients spanning from startups to Fortune-50 companies.

What You’ll Do

• Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction.
• Design, implement, deploy and own E2E Cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture.
• As all our systems are data-driven you will have an analytical aspect in measuring your modules both business and performance-wise
• Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship
• Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production
• Technological superiority is what gives us our edge so you’ll work and be up to date with the latest tech and trends

Requirements

• 5+ years Backend Development in Go or Python
• Experience with containerized (Docker, Kubernetes) deployments
• Experience with relational and NoSQL databases data warehouses or equivalent
• Team-player as well as the ability to be independent and proactive
• Bs.c Degree in Computer Science or Equiv. military experience
• Experience with AI models (LLMs, model integration, agent tooling) - Bonus
• Basic Knowledge of React TypeScript and web-technologies - Bonus
• Experience with Google Cloud Platform, GKE, BigQuery - Bonus