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Senior Full Stack Engineer

DT·Petaẖ Tiqva, Израиль·en
ГибридПолная занятостьFull-stack DevelopmentAdTech

Join an autonomous engineering team building the product surfaces and services that connect advertisers, app publishers, and mobile users. Work across front-end, back-end, and data, with a strong emphasis on scalable backend systems and real-time marketplace performance. Hybrid role; candidates must

Обязанности

  • Build full-stack features for campaign management, reporting, and marketplace optimization, from responsive web interfaces to backend services and APIs.
  • Select suitable languages and tools for each problem and implement complex logic in robust, scalable backend services.
  • Build and consume APIs that integrate products into a unified architecture.
  • Own services in production, including testing, observability, performance, and on-call responsibilities.
  • Collaborate with product leads and stakeholders on scoping, estimation, and technical decisions.
  • Mentor teammates and improve engineering standards through code reviews, automation, and pragmatic architecture.

Требования

  • At least 5 years building and shipping production platforms, with strong backend architecture, system design, and code optimization experience.
  • Strong algorithmic and data-structure fundamentals, with experience solving complex data-processing or resource-optimization problems.
  • Ability to work effectively across multiple programming languages or ecosystems, such as TypeScript, JavaScript, Java, Kotlin, Python, Go, Scala, or C++.
  • Experience with modern front-end frameworks such as React, backend service design, and relational or distributed data stores.
  • Strong fundamentals in API design, data modeling, testing, and system design.
  • Comfort working in a fast-paced, agile environment with individual ownership.

Будет плюсом

  • Experience with AWS or GCP, containers, and CI/CD.
  • Exposure to AdTech, dashboards or BI, or high-throughput data-driven products.
  • Experience integrating machine learning or data services into product workflows.

Соответствие

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