Sr. Software Engineer

Unity Technologies SF•Mountain View, CA

About The Position

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.

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
Sufficient knowledge of English for professional verbal and written exchanges.

Nice To Haves

Experience migrating legacy systems to modern architectures in production environments

Responsibilities

Own the end-to-end attribution pipeline, including a portfolio of high-throughput, latency-sensitive services and streaming pipelines.
Design, build, and operate real-time ad event processing systems that receive ad interaction events, process terabytes of data, and deliver signals in real time.
Lead the architectural modernization by migrating a legacy event-handling layer to a modern gRPC-based service, involving greenfield development with backfill and failover.
Improve low-latency data services, including the caching layer and the persistence layer that links various ad lifecycle identities.
Build and own multiple services that support ad serving, including negative targeting and block listing, logging, tracing, authentication, a Kafka-backed caching framework, health check and readiness probe infrastructure, and Docker-based integrations.
Own real-time monitoring of data health, detecting anomalies, event delivery rates, and data quality signals.
Build and maintain batch data pipeline jobs that produce daily datasets in BigQuery.
Collaborate with ML, Reporting, and external partners, leading investigations and recovery when issues arise.