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Lead Backend Engineer

DT·Petaẖ Tiqva, Израиль·en
ГибридПолная занятостьBackend DevelopmentAdTech

Lead backend architecture and technical direction for a large-scale mobile advertising platform. Build reliable, low-latency services and APIs, optimize performance under high concurrency, and guide engineering practices across teams. The role is hybrid and requires candidates local to the posting's

Обязанности

  • Lead backend architecture, technical roadmaps, and delivery of scalable, fault-tolerant services and APIs
  • Optimize low-latency services and algorithms for high throughput and real-time marketplace activity
  • Design governed REST and gRPC APIs and asynchronous messaging interfaces
  • Select and optimize languages and tools for performance, concurrency, and memory use
  • Own services throughout production, including telemetry, tracing, failover, performance tuning, availability, and SLA compliance
  • Mentor engineers, establish design principles, and lead code and architecture reviews
  • Partner with product, architecture, and data engineering teams to translate business goals into technical plans

Требования

  • 8+ years of experience building, scaling, and operating high-throughput backend platforms in production
  • Demonstrated technical leadership and expertise with distributed systems
  • Strong foundations in computer science, memory management, data structures, and distributed algorithms
  • Expertise in at least two backend ecosystems, such as Java, Go, Kotlin, Scala, Python, C++, or TypeScript
  • Experience with relational and distributed or NoSQL data stores, query optimization, and data pipeline architecture
  • Experience designing APIs, event-driven architectures, and microservice integration patterns
  • BSc or MSc in Computer Science or Software Engineering, or equivalent practical or military experience

Будет плюсом

  • Experience with Docker, Kubernetes, AWS or GCP, and CI/CD pipelines
  • Exposure to ad exchanges, real-time bidding, high-frequency trading, or large-scale analytics
  • Experience integrating machine learning models, inference engines, or streaming pipelines into backend services

Соответствие

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