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.