2 часа назад
Lead Backend Engineer (Go)
Мэтч & Сопровод
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Описание вакансии
Текст:
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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