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4 часа назад

Senior Backend Engineer (Go)

Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Backend Engineer (Go) (AdTech): Building and optimizing high-performance backend services for a demand-side platform and real-time bidder with an accent on distributed systems, microservices, scalability, and low-latency processing. Focus on analyzing bottlenecks, resolving complex performance challenges, and integrating data-driven capabilities with Data Engineering and Machine Learning teams.

Location: Remote from Poland

Company

Builds a next-generation demand-side platform that gives advertisers access to premium digital inventory through high-performance programmatic technology.

What you will do

  • Design, develop, and maintain high-performance backend services in Go.
  • Analyze and optimize distributed systems and microservice-based architectures.
  • Integrate data-driven capabilities into bidder workflows with Data Engineering and Machine Learning teams.
  • Translate business needs into scalable technical solutions with Product Managers.
  • Write maintainable code, participate in code reviews, and contribute to engineering best practices.
  • Own features from concept through production and resolve complex performance issues.

Requirements

  • Strong backend software development experience with Go.
  • Deep understanding of distributed systems and microservice architectures.
  • Hands-on experience building and operating high-performance, low-latency backend services.
  • Ability to analyze system bottlenecks and solve complex scalability challenges.
  • Ability to work independently and collaborate with Product and Engineering teams.
  • Curiosity about both system design and the business problems being solved.

Nice to have

  • Experience in AdTech or programmatic advertising, including DSPs, SSPs, or exchanges.
  • Understanding of auction mechanics and large-scale decisioning systems.
  • Experience with Google Cloud Platform, Kubernetes, and cloud-native environments.
  • Familiarity with data-intensive applications, analytics platforms, and large-scale aggregations.
  • Understanding of Machine Learning concepts and production ML integrations.

Culture & Benefits

  • Support from an HR team.
  • 20 days of vacation.
  • Knowledge sharing and collaboration with experienced colleagues.
  • Compensation for contributions.

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