Build and scale core security infrastructure for secret management, identity, authentication, and end-to-end encryption across Snowflake's multi-cloud platform.
As a Security Platform Engineer, you will build and operate security-critical infrastructure, focusing on reliability and scale. This role involves developing AI-assisted engineering workflows, managing security telemetry, and implementing GitOps deployment patterns across hundreds of environments.
Build and operate large-scale security, governance, and compliance platform features at Snowflake. Design extensible frameworks and high-availability services using Java, Python, and SQL.
Builds foundational security systems for AI SaaS infrastructure, including secure execution for AI agents, AWS guardrails with Terraform, identity management, and observability. Requires strong application security, DevOps, and AWS experience with a focus on automation and developer-friendly tools.
Builds and owns end-to-end security program including SOC 2 compliance, cloud infrastructure hardening, and scalable security tooling for a fast-growing AI compliance startup. Requires 4+ years experience, hands-on cloud security, and hybrid presence in SF or NYC.
Hands-on engineer owning security, scalability, and cost optimization of AWS infrastructure. Hardens IAM, networking, secrets management; leads threat modeling, incident response, and architecture reviews for high-sensitivity legal systems. Requires 5+ years AWS production experience.