Golang Dev

We are a product IT company operating in the AdTech industry. Our product is a high-load programmatic advertising platform that ranks among the Top 3 advertising networks worldwide . Our scale: 130K+ RPS, with several billion events processed in ClickHouse every day. Our tech stack: Go, PostgreSQL, Kafka, ClickHouse, K8s. Who we’re looking for: An experienced backend engineer with strong expertise in Go who is comfortable using a diverse technology stack to solve practical engineering challenges. Develop and improve the core of our programmatic platform: ad selection and targeting; statistics collection and delivery; advertising event processing; ETL processing in a geo-distributed system; Work on architecture and system design: designing system and application architectures; designing and developing new backend services; replacing legacy system components; Contribute to and improve our engineering culture: developing and improving the codebase of existing applications; standardizing and templating boilerplate code; conducting code reviews. 3+ years of commercial experience with Go; Experience designing high-load services based on high-availability principles; Experience writing unit tests in Go, with an understanding of what exactly is being tested rather than writing tests purely for coverage; Experience with PostgreSQL, including understanding the causes of bloat and how to use the results of EXPLAIN ANALYZE; Experience producing and consuming messages with Kafka. Understanding of how to implement exactly-once or idempotent processing; Experience deploying applications to K8s; Experience optimizing Go code using a profiler and writing benchmarks. Nice to have Understanding of why column-oriented databases such as ClickHouse are used; Experience with NoSQL databases (Scylla/Cassandra, Couchbase); Experience setting up application observability using Kibana and Prometheus with Grafana; Experience configuring GitLab CI pipelines; Experience using Debezium to build event-driven systems; User-level knowledge of Unix-like systems. A competitive market-level compensation package and an open grading system where everyone can see their own and their colleagues’ areas of expertise and growth; A clear and streamlined onboarding process with a dedicated mentor; An up-to-date and continuously maintained knowledge base in Confluence, along with documentation in MkDocs; A collaborative culture and an open, friendly team where everyone is always ready to support and help their colleagues; A well-established process for system design (Design Review), development, and code review with minimal bureaucracy.