Responsibilities
- You will integrate a small, high-ownership squad where you own the full lifecycle - design, implement, deploy, monitor, and iterate - with direct impact on revenue-critical systems processing millions of bid requests per second.
- 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 - including potentially developing proprietary models in-house.
- 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 large data volumes (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.
Requirements
- 7+ years of experience in backend engineering, with a strong focus on designing and building scalable, high-performance systems.
- Well-versed with machine learning and deploying models for inference in production.
- Extensive experience in distributed systems, microservices, and API design using Python.
- Hands-on experience with observability tools (e.g., Prometheus, Grafana) for metrics collection, log aggregation, and system monitoring.
- Understanding of A/B testing concept and experience integrating them into backend systems for experimentation and optimization.
- Proven ability to design, build, and manage cloud infrastructure using Kubernetes, Docker, and cloud-native tooling. Experience with other cloud providers is welcome, but AWS is preferred as it is our primary platform.
- Solid experience with CI/CD pipelines, and infrastructure automation tools (e.g., Terraform).
- A focus on building reliable, maintainable, and scalable systems, with experience in performance tuning and cost optimization.
- Strong problem-solving skills, quality ownership and autonomy: able to take a task from design to production end-to-end - writing contract tests for upstream/downstream interfaces, verifying changes in staging, and treating CI as necessary but not sufficient.
Nice to Have
- Experience with OpenRTB and real-time bidding systems.
- Expertise in real-time data processing and event-driven architectures (e.g., Kafka, GCP Pub/Sub, Kinesis) for building responsive, low-latency systems.
- Genuine interest in understanding the full machine learning lifecycle - from modelization and training to serving and monitoring .
- Experience with model serving frameworks (Triton Inference Server, TorchServe, TF Serving, Ray Serve, KServe, or similar) - deploying, configuring, and operating model servers in production.
- Exposure to data science workflows and understanding how data engineers and data scientists collaborate in productionizing ML models.
- Contributions to open-source projects or active involvement in technical communities related to backend engineering or machine learning.
Benefits
- Competitive salary upon experience
- Swile Lunch voucher
- Gymlib (100% borne by Voodoo)
- Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo
- Child day care facilities (Les Petits Chaperons rouges)
- Wellness activities in our Paris office
- Remote days
Work Arrangement
Hybrid — Paris, Helsinki
