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2 часа назад

Lead Backend Engineer (Go)

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

Текст:
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TL;DR
Lead Backend Engineer (Go): Building and evolving a high-performance Demand-Side Platform bidder for real-time programmatic advertising with an accent on distributed systems, microservices, and low-latency decisioning. Focus on optimizing scalability, shaping platform architecture, integrating data-driven capabilities, and providing technical leadership.

Location: Poland; Workplace: Remote

Company

Building a next-generation Demand-Side Platform (DSP) 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.
  • Contribute to architecture decisions, technology selection, and platform strategy.
  • Drive engineering quality through code reviews, technical leadership, and engineering best practices.
  • Collaborate with Product Managers to translate business needs into scalable technical solutions.
  • Work with Data Engineering and Machine Learning teams to integrate data-driven capabilities into bidder workflows.

Requirements

  • Extensive backend software development experience with Go.
  • Strong understanding of distributed systems and microservice architectures.
  • Experience building and operating high-performance, low-latency backend services.
  • Ability to identify, analyze, and resolve complex performance and scalability challenges.
  • Ability to work independently and drive initiatives from concept to production.
  • Leadership experience or readiness to step into a technical leadership role, with strong communication and Product collaboration skills.

Nice to have

  • AdTech or programmatic advertising experience, including auction mechanics and high-scale decisioning.
  • 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.
  • Experience leading technical initiatives, mentoring engineers, or working with distributed external teams.

Culture & Benefits

  • Support from the HR team.
  • 20 days of vacation.
  • Knowledge sharing and collaboration with talented colleagues.
  • A compensation package for the role.

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