Senior Software Engineer, Attribution

About the role

Unity is building a robust, near real-time reporting platform that powers critical analytics and decision-making across our ecosystem. We are looking for a Senior Software Engineer to help architect and implement the distributed data systems that drive this platform at scale. In this role, you'll design and build high-throughput, low-latency data processing pipelines that power reporting used by internal teams and external customers. You'll operate at the intersection of distributed systems, stream processing, and cloud-native infrastructure - ensuring correctness, reliability, and scalability in a high-volume production environment. This is a high-impact role where engineering rigor, architectural clarity, and production ownership matter.

Responsibilities

• Improve low-latency data services. You will improve the caching layer that serves data on every ad request within strict latency budgets, and own the persistence layer that links auction, fill, placement, and gamer identities together across the ad lifecycle.
• Drive data health monitoring and quality. You will own real-time monitoring of data health, detecting anomalies, event delivery rates, and data quality signals as they happen. You will also build and maintain the batch data pipeline jobs that produce daily datasets in BigQuery.
• Collaborate across ML, Reporting, and external partners. You will be the team that ML modeling, Reporting, and external partners rely on for timely and accurate signal reporting. When something goes wrong, you will lead the investigation and recovery.

Requirements

• Strong foundation in distributed systems and systems design
• Hands-on experience building and operating large-scale data processing systems
• Deep understanding of streaming concepts: exactly-once semantics, watermarking and event-time processing, stateful stream processing, checkpointing and recovery, and backpressure handling
• Production experience with frameworks such as Apache Flink, Spark, Kafka, or similar technologies
• Proficiency in Python, Java, or Scala
• Experience with workflow orchestration tools such as Airflow for stream and batch coordination
• Strong understanding of cloud-native architectures and distributed infrastructure including Kubernetes, containerization, and cloud platforms
• You might also have
• Experience migrating legacy systems to modern architectures in production environments
• Additional information
• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

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