4 часа назад
Senior Backend Engineer (Go)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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