C++ Engineer optimizing core data pipelines and implementing machine learning models at Tracify. Collaborating with cross-functional teams to build robust software solutions in a startup environment.
Responsibilities
Extend and optimize our core data pipelines (AnalyticsCore) with advanced 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 comprehensive tracking
Build and maintain unit tests for robust, high-quality code coverage, including edge-case scenarios
Identify and resolve architectural bottlenecks, performance issues, and security vulnerabilities
Run performance evaluations using tools like Google Orbit to monitor and optimize system efficiency
Collaborate with backend, product, and data science teams to enable advanced functionality and data integrations
Develop inspection tools and documentation to support customer success and technical troubleshooting
Enhance and expand our bot framework (TracyBots) with advanced algorithms (e.g., dynamic bidding, predictive performance models)
Develop new and advanced bots leveraging machine learning (e.g., reinforcement learning-based bots)
Support the transition from legacy systems to the new AnalyticsCore infrastructure
Requirements
Professional experience: 2+ years in modern C++ development (C++17/C++20) with a focus on performance and multithreading
Technical skills: Solid understanding of Python, data processing, and machine learning basics
Tooling and libraries: Hands-on experience with Boost, Clickhouse C++ client, SQLPP11, Redis++, nlohmann::json, or similar
Data expertise: Experience integrating SQL/NoSQL databases and working with APIs for large-scale data processing
Testing and CI/CD: Strong unit-testing skills and experience with CI/CD pipelines (e.g., GitHub Actions, Docker)
Problem-solving: Ability to optimize existing systems, identify architectural improvements, and debug complex issues
Collaboration: Comfortable working self-directed while collaborating with cross-functional teams
Nice to have: Experience with reinforcement learning, graph-based methods, or computer vision projects
Benefits
Innovative environment: Work in an agile startup with flat hierarchies and plenty of room for your ideas
Impact: Take ownership from day one and directly shape the future of Tracify with your work
Team spirit: A motivated and supportive team that values collaboration and open communication
Development opportunities: Grow with us and deepen your expertise as a C++ Engineer
Flexibility: Hybrid setup with flexible working hours – enjoy the comfort of remote work and the collaboration in our Munich office
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