Extend and optimize our central data pipelines (AnalyticsCore) with new functionality and improved performance
Implement machine-learning-based attribution models and custom user-matching methods (e.g., clustering, graph-based approaches)
Integrate new identifiers (e.g., device/browser fingerprinting) and additional data sources for holistic tracking
Build and maintain unit tests to ensure robust, high-quality code coverage, including edge-case scenarios
Identify and resolve architectural bottlenecks, performance issues, and security vulnerabilities
Work closely with backend, product, and data science teams to implement enhanced features and data integrations
Develop analysis tools and documentation to support the Customer Success team and for technical troubleshooting
Further develop and expand our bot framework (TracyBots) with advanced algorithms (e.g., dynamic bidding, predictive performance models)
Develop new, advanced bots based on machine learning (e.g., reinforcement-learning-based bots)
Support migration of legacy systems to the new AnalyticsCore infrastructure

At least 2 years of experience in modern C++ development (C++17/C++20) with a focus on performance and multithreading
Solid understanding of Python, data processing, and fundamentals of machine learning
Hands-on experience with Boost, ClickHouse C++ client, SQLPP11, redis-plus-plus (Redis++), nlohmann::json, or comparable libraries
Experience integrating SQL/NoSQL databases and working with APIs for large-scale data processing
Strong unit-testing skills and experience with CI/CD pipelines (e.g., GitHub Actions, Docker)

Senior C++ Engineer

Key skills