Senior Backend Developer (Core Systems)
פורסם 4 במאי · 58 מועמדים
התפקיד במילים פשוטות
התפקיד כולל תכנון, פיתוח ופריסה של מערכות הליבה המניעות את מנוע הצעות המחיר בזמן אמת, שהוא שירות מבוסס Go המעבד למעלה מ-2 מיליון בקשות בשנייה. כמו כן, תבנה ותתחזק את התשתית הנלווית, כולל צינורות נתונים, מערכות תצורה וכלי פנימיים, תוך עבודה בסביבת מיקרו-שירותים עם Go ו-Python.
- 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)
- Basic Knowledge of React \ TypeScript and web-technologies
- Experience with Google Cloud Platform, GKE, BigQuery
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למפתחי Backend עם ניסיון של 5+ שנים ב-Go או Python, וניסיון עם פריסות מבוססות קונטיינרים (Docker, Kubernetes) ומסדי נתונים יחסיים ו-NoSQL. הוא אידיאלי למי שמחפש להצטרף לצוות רב-תחומי בסביבה מונעת נתונים ומהירה, ופחות מתאים למי שאין לו ניסיון משמעותי בפיתוח Backend ובמערכות בקנה מידה גדול.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןAbout Us
Arpeely is a Data-Science startup combining real-time systems engineering, machine learning, and algorithmic optimization to gain a market edge and uncover hidden values in real-time advertising. Processing over 2 million bid requests per second - each with a sub-10ms decision window, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges.
What You’ll Do
We are looking for a passionate Backend Developer to join our small, high-caliber team. You will design, develop, and deploy the core systems behind our real-time bidding engine - a Go-based service that processes over 2 million requests per second, running a multi-step pipeline of campaign selection, ML prediction, and bid calculation, all within single-digit milliseconds. You'll also build and maintain the surrounding infrastructure: data pipelines, configuration systems, ML serving layers, and internal tools - working across Go and Python in a microservice environment.
This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment.
If you are experienced but hungry to learn and have outsized impact - we’d love to have you on our team!
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 end-to-end 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
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שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 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