Senior Backend Developer (Core Systems)

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 stay 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. • BSc degree in Computer Science, or equivalent 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.