Backend Engineer

Lead the design and architecture of backend services that power real-time model inference and bidding decisions for our OpenRTB platform. Collaborate with data scientists and machine learning engineers to deploy, monitor, and optimize ML models that influence real-time bidding strategies, pricing decisions, and targeting. Oversee the development of A/B testing frameworks and ensure the seamless integration of experimentation tools into our platform for continuous model and bidding optimization. Ensure that all backend services are high-performance, low-latency, and scalable, capable of handling millions of bidding events per second. Set best practices for architecture, API design, and distributed systems to ensure robust and maintainable systems at scale. Work with the cloud infrastructure teams to ensure efficient deployment, scaling, and monitoring of backend services using Kubernetes, Docker, and CI/CD pipelines. Work closely with product managers to define and implement new features, optimizations, and improvements to the bidding and model inference system. Lead efforts to optimize performance and cost-efficiency across the backend infrastructure, ensuring that the system can scale effectively with increasing traffic and data. Continuously monitor the system’s performance, perform post-deployment analysis, and make improvements based on real-world usage and A/B test results.