Senior Backend Engineer

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Voodoo

πŸ“Remote - France

Summary

Join Voodoo's Ad-Network Team as a Backend Engineer and lead the design and architecture of backend services powering 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 influencing real-time bidding. Oversee A/B testing frameworks and ensure seamless integration of experimentation tools. Build high-performance, low-latency, and scalable backend services handling large data volumes. Set best practices for architecture, API design, and distributed systems. Work with cloud infrastructure teams using Kubernetes, Docker, and CI/CD pipelines. Define and implement new features with product managers, optimize performance and cost-efficiency, and continuously monitor system performance. This France-based role offers full remote options.

Requirements

  • 5+ years of experience in backend engineering, with a strong focus on designing and building scalable, high-performance systems
  • Extensive experience in distributed systems, microservices, and API design using technologies such as Java, Scala, Python, or Go
  • Expertise in real-time data processing and event-driven architectures (e.g., Kafka, GCP Pub/Sub, Kinesis) for building responsive, low-latency systems
  • Hands-on experience with observability tools (e.g., Prometheus, Grafana, ELK Stack, Datadog) for metrics collection, log aggregation, and system monitoring
  • Deep understanding of A/B testing frameworks and experience integrating them into backend systems for experimentation and optimization
  • Proven ability to design, build, and manage complex cloud infrastructure (AWS, GCP, Azure), including managing services with Kubernetes, Docker, and cloud-native tools
  • 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
  • Excellent problem-solving skills, with the ability to tackle complex technical challenges and provide innovative solutions

Responsibilities

  • 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 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

Preferred Qualifications

  • Experience with OpenRTB and real-time bidding systems
  • Familiarity with machine learning and deploying models for inference in production.strategies
  • 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
  • Comprehensive relocation package (including visa support)
  • 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
  • Unlimited vacation policy
  • Remote days

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