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Ayoub S.AS

Ayoub S.

Sr. Backend Engineer | Kafka & Distributed Systems

600 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Ayoub

Senior Backend Engineer with 5+ years building high-throughput, real-time systems for enterprise and mission-critical platforms.

I specialize in distributed systems, event-driven, data-intensive, and performance-critical backends, with experience processing 5,000+ events/sec using Kafka & Flink and designing systems with sub-100ms latency.


I focus on business outcomes: reducing latency, increasing reliability, and scaling systems without unnecessary complexity or cost. Comfortable working with remote EU teams and owning systems end-to-end.
  • Anglais

    Bilingue ou natif

  • Français

    Capacité professionnelle complète

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Additess
    Senior Backend Engineer
    février 2023 - Aujourd'hui (3 ans et 5 mois)
    Designed and led real-time surveillance and AI-driven platforms processing 5,000+ events/sec with sub-100ms latency using Kafka & Flink.

    Built production-grade backend systems in Go, improving latency by 70% and reducing delivery time by 50% through better architecture and observability.
    Event-driven architecture Apache Kafka flink Python FastAPI
  • Norsys
    R&D Engineer
    janvier 2022 - février 2023 (1 an et 1 mois)
    300k+ customers, 10k+ daily transactions. Built and scaled backend services in Java (Spring Boot) for a large marketplace platform.

    99.95% uptime, sub-200ms APIs. Designed reactive services with Spring WebFlux, implementing rate limiting, circuit breakers, and fault tolerance.

    +40% user satisfaction. Improved review and moderation workflows using PostgreSQL and Hibernate, increasing engagement and submission rates.
    Java Spring boot PostgreSQL Spring Security Microservices
  • Aowarai
    Software/AI Developer
    août 2021 - janvier 2022 (5 mois)
    +100% CTR. Designed and implemented a recommender system using Java and Spring Boot, leveraging Apache Mahout, Spark, Elasticsearch, and MongoDB to personalize user interactions at scale.

    40% → 75% on-time delivery. Built an optimization-based routing system to determine optimal delivery routes and driver allocation, significantly improving logistics efficiency.
    Apache Spark AWS Apache Mahout Elasticsearch MongoDB

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Formations

  • MS in
    Abdelmalek Essaâdi University
    2020
    MS in
  • BS
    Abdelmalek Essaâdi University
    2018
    BS

Compétences

Catégories