Software Engineer, Identity & Access Management

This role is responsible for designing, implementing, and maintaining identity and access management solutions to ensure secure access across the organization. The engineer will work on identity lifecycle management, authentication, and authorization, and collaborate with security and engineering teams. Requires deep expertise in IAM technologies and best practices.

This Senior Security Engineer role specializes in identity and machine access, focusing on securing AI systems and infrastructure. The position involves designing and implementing IAM solutions, managing machine identities, and ensuring secure access across cloud environments.

This role leads the development of interoperable standards for AI agents in digital advertising, focusing on enabling semi-autonomous and autonomous decision-making in media workflows. The Head of Agentic Technologies will drive technical standards development, requiring a visionary and technically rigorous approach to shape the future of AI-driven advertising.

This Senior Software Engineer role focuses on building scalable systems, APIs, and data pipelines for a platform that reimagines advertising for humans and AI agents. The engineer will contribute to core platform functionality, ensuring reliability and performance in a remote-first environment.

This Staff Software Engineer role focuses on building the compiler and runtime integration that translates Spark workloads into efficient execution on Snowflake's cloud-native query engine. Responsibilities include leading technical design and implementation of query compilation, intermediate representations, type resolution, and SQL generation, as well as improving performance and cost-efficiency. The role requires deep expertise in compiler architecture, relational query processing, and proficiency in Scala, Java, or C++, with 10+ years of experience.

This Staff Software Engineer role on the Storage team focuses on building the world's best storage platform for Snowflake, including value-added services like disaster recovery and AI integrations, and providing enterprise-grade, cloud-native storage for containerized workloads. The role involves architecting and implementing new systems for table data storage, access, and processing, and requires 10+ years of experience with large-scale distributed systems and public cloud platforms.

This role focuses on building core database-engine capabilities for workload optimization, including indexing, data pruning, and query optimization. The engineer will implement and test features in C++ and/or Java, investigate performance bottlenecks, and collaborate with teams to improve query execution for demanding customer workloads.