Senior Backend Engineer (Go)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Backend Engineer (Go): Building and optimizing high-throughput backend services and analytics engines for a global adtech platform with an accent on distributed systems and real-time data processing. Focus on designing scalable microservices, optimizing performance for 50+ million daily events, and ensuring low-latency data delivery using Go, Kafka, and Druid.
Location: Hybrid role based in Hamburg, Germany (relocation support provided)
Company
is a global leader in rewarded advertising, building technologies that connect advertisers and publishers with over 770 million users annually.
What you will do
- Design and maintain high-performance microservices handling massive traffic volumes.
- Build and optimize analytics engines to process 50+ million daily events in real-time.
- Develop and document robust APIs for partner-facing dashboards.
- Optimize database queries across Druid and MySQL for millisecond response times.
- Collaborate on end-to-end service ownership within a Kubernetes-based infrastructure.
Requirements
- 5+ years of software development experience with 3+ years in production Go.
- Deep expertise in designing distributed systems using event buses like Kafka.
- Strong understanding of data storage and query optimization at scale.
- Experience with columnar databases and relational database performance tuning.
- Must be willing to work from Hamburg, Germany (relocation support provided).
Nice to have
- Experience with infrastructure tools like Terraform, Docker, or serverless.
- Prior experience with columnar databases like Druid.
- Familiarity with frontend technologies like TypeScript and React.
Culture & Benefits
- Work on high-impact infrastructure reaching hundreds of millions of users.
- Collaborate within a diverse, global team representing over 40 countries.
- Fast-paced environment with a focus on shipping solutions and continuous learning.
- Opportunity to influence business-critical decisions through data engineering.
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