Senior Software Engineer - Storage Infrastructure

About the role

Our platform is the foundational identity and data layer for 900M+ monthly active users, serving 2.5B+ profiles at massive scale. We are building a predictive, identity-centric insights engine-ensuring our audience is understood with precision to deliver hyper-personalized experiences and advertising solutions across all our digital properties. Our mission centers on first-party data strategy: capturing, enriching, and activating audience signals to build a 360-degree view of every user. We operate under a Privacy-by-Design philosophy, adhering to global regulations (GDPR, CCPA) and industry security standards, while leveraging a cloud-native stack across GCP (BigQuery, Spanner, Dataflow, Composer, GKE) and AWS, with modern MLOps practices to deliver measurable business impact. As a Senior Software Engineer, you will design and optimize the foundational storage layer powering our 2.5B+ profile dataset. Your work on Cloud Spanner schema design, Valkey (Redis-compatible) caching strategies, and multi-region replication ensures sub-10ms data access for APIs serving millions of requests per second, directly enabling hundreds of millions in annual advertising revenue. You will build and maintain petabyte-scale storage infrastructure with 99.99% availability, implementing efficient read/write patterns, multi-region replication, and disaster recovery mechanisms. Your expertise in distributed databases and caching systems is critical to balancing performance, cost, and reliability at massive scale. This role demands deep knowledge of Cloud Spanner internals, distributed caching architectures, and production database operations at scale. You will collaborate closely with API, Ingestion, and SRE teams to ensure optimal data access patterns while maintaining data durability and system reliability.