You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents.
You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data.
You'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills.
You'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more.
You'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet.