Job Description

Position Overview

Employment Type: Full-Time Location Type: Remote Salary: Not Specified

Voodoo, founded in 2013, is a leading tech company dedicated to creating mobile games and apps with the mission to entertain the world. With 800 employees, 7 billion downloads, and over 200 million active users, Voodoo ranks as the #3 mobile publisher worldwide by downloads, following Google and Meta. Our portfolio features chart-topping games like Mob Control and Block Jam, as well as popular apps such as BeReal and Wizz.

This role can be performed fully remotely from France.

Team

The Engineering & Data team is responsible for building innovative tech products and platforms that support Voodoo's impressive growth in gaming and consumer apps, ensuring the company remains at the forefront of the mobile industry.

You will join the Ad-Network Team, an autonomous squad of approximately 30 individuals. This team comprises top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists (including 3 Kaggle Masters). The team's objective is to enable Voodoo to monetize its inventory directly with advertising partners, leveraging advanced technological solutions to optimize advertising within a real-time bidding environment. This is a strategic area with a significant impact on the business.

Role Responsibilities

• Design, implement, and optimize real-time data pipelines processing billions of events daily with strict Service Level Agreements (SLAs).
• Architect data flows for bidstream data, auction logs, impression tracking, and user behavior data.
• Build scalable and reliable event ingestion and processing systems using technologies such as Kafka, Flink, Spark Structured Streaming, or similar.
• Operate data infrastructure on Kubernetes, managing deployments, autoscaling, resource limits, and high availability.
• Collaborate with backend teams to integrate OpenRTB signals into our data platform in near real-time.
• Ensure high-throughput, low-latency processing, and system resilience in our streaming infrastructure.
• Design and manage event schemas (Avro, Protobuf), schema evolution strategies, and metadata tracking.
• Implement observability, alerting, and performance monitoring for critical data services.
• Contribute to decisions regarding data modeling and data retention strategies for real-time use cases.
• Mentor other engineers and advocate for best practices in streaming architecture, reliability, and performance.
• Continuously evaluate new tools, trends, and techniques to evolve our modern streaming stack.

Profile Requirements

Must Have:

• Extensive experience in data or backend engineering, with at least 2 years of experience building real-time data pipelines.
• Proficiency with stream processing frameworks such as Flink, Spark Structured Streaming, Beam, or similar.
• Strong programming experience in Java, Scala, or Python, with a focus on distributed systems.
• Deep understanding of event streaming and messaging platforms like GCP Pub/Sub, AWS Kinesis, Apache Pulsar, or Kafka, including performance tuning, delivery guarantees, and schema management.
• Solid experience operating data services on Kubernetes, including Helm, resource tuning, and service discovery.
• Experience with Protobuf/Avro and best practices for schema evolution in streaming environments.
• Familiarity with CI/CD workflows and infrastructure-as-code tools (e.g., Terraform, ArgoCD, CircleCI).
• Strong debugging skills and a commitment to building reliable, self-healing systems.

Nice to Have:

• Knowledge of stream-native analytics platforms (e.g., Druid, ClickHouse, Pinot).
• Understanding of frequency capping, fraud detection, and pacing algorithms.
• Exposure to service mesh, auto-scaling, and cost optimization in containerized environments.
• Contributions to open-source streaming or infrastructure projects.

Benefits

• Best-in-class compensation.
• Other benefits according to the country of residence.