2 days ago
Base Salary
$200k - $288k/yr
Responsibilities
- Design and implement AI security capabilities, including controlled and audited agent workflows, MCP server and client security, agent identity frameworks, and administrative guardrails.
- Build and evolve identity and access management systems involving authentication, SSO, MFA, OAuth/OIDC, SAML, SCIM, and fine-grained RBAC.
- Design and develop security infrastructure for secret management, key management, service identity, and end-to-end encryption across a multi-cloud environment.
- Build security tooling for defining, monitoring, enforcing, and detecting policy violations, including automation and self-service processes.
- Develop extensible Trust Center platform components supporting security detectors, responders, and visualizations.
- Create standards-based security posture assessments and contribute to behavioral analytics and PII attribution capabilities.
- Partner with engineering teams to deliver secure solutions that reduce friction without compromising safety.
- Lead secure network architecture design and enforcement to defend against ransomware and data exfiltration.
- Participate in design reviews, code reviews, and on-call rotations while maintaining high standards for quality and reliability.
Requirements
- 5+ years of industry experience designing, building, and operating large-scale distributed systems in production cloud environments.
- Strong knowledge of data structures, algorithms, systems design, and distributed computing.
- Proficiency in one or more of Java, C++, Python, Golang, or Rust, with solid SQL skills.
- Experience shipping and operating production services with attention to availability, reliability, and observability.
- Collaborative approach to working across product management, design, and engineering teams.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience.
- Preferred experience with identity and access management concepts and protocols such as SAML, SCIM, OAuth, OIDC, Federation, MFA, and RBAC.
- Preferred familiarity with secret management, key management, service identity, authentication, or authorization.
- Preferred experience with database internals, query engines, data platforms, developer platforms, SDKs, or multi-tenant extensibility frameworks.
- Preferred exposure to machine learning or AI systems for anomaly detection, behavioral analytics, or risk classification.
- Preferred experience deploying and operating services on Kubernetes or AWS, Azure, or GCP.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.