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Senior Backend Engineer

DT·Israel·
HybridFull-timeBackend DevelopmentAdTech

Build and lead the evolution of scalable, highly available backend systems for a real-time mobile advertising exchange. The role focuses on low-latency performance, distributed architecture, production reliability, and technical leadership in a hybrid environment in Petah Tikva, Israel.

Responsibilities

  • Design, develop, and deliver complex backend services for a real-time ad exchange.
  • Architect scalable systems and lead major initiatives, migrations, and long-term maintainability improvements.
  • Profile and optimize performance for ultra-low latency and high throughput under heavy concurrency.
  • Mentor engineers, conduct code reviews, and establish software engineering standards.
  • Collaborate with product managers, data scientists, DevOps, and engineering teams on technical solutions.
  • Own services in production, including monitoring, alerting, observability, and incident resolution.
  • Improve deployment pipelines and cloud infrastructure in collaboration with DevOps.
  • Use AI coding assistants and agentic tools to accelerate development and automate routine work.

Requirements

  • 5+ years of backend software development experience focused on large-scale distributed systems.
  • Expertise in at least one statically typed backend language such as Scala, Java, Kotlin, Go, Rust, or C++.
  • Experience building and maintaining high-throughput, low-latency, real-time systems.
  • Deep knowledge of software architecture, microservices, design patterns, and object-oriented or functional programming.
  • Hands-on experience modeling and scaling SQL and NoSQL databases.
  • Strong experience with Docker, Kubernetes, and a major cloud platform such as AWS, GCP, or Azure.
  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical or military experience.

Nice to have

  • Experience with ad technology, including ad exchanges, DSPs, or SSPs.
  • Knowledge of reactive programming or advanced concurrency models.
  • Experience with Kafka, Flink, Spark, or other big data streaming technologies.

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