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.
160k – 230k/yr
On-site5+ YOESecurity Engineering
About the role
Responsibilities
Design and implement extensible, plug-n-play platform and framework components that allow first-, second-, and third-party security detectors, responders, and visualizations to be built on top of Trust Center
Build high-availability, high-scale product features and services that deliver trust and risk management capabilities directly into the Snowflake platform
Leverage industry-accredited benchmarks (e.g., CIS — Center for Internet Security) to develop opinionated, standards-based security posture assessments for Snowflake customers
Contribute to behavioral analytics pipelines and PII attribution capabilities that help detect, prevent, and respond to threats and abuse vectors
Build and maintain compliance reporting, vulnerability patching transparency, and access transparency tooling that customers rely on for their own security programs
Work closely with Product Managers to drive features from early idea and design through to production deployment, with operational and release rigor baked in from the start
Support and extend a developer ecosystem that spans Snowflake, end customers, and external third-party developers — including integrations with Snowflake's Marketplace
Apply AI-assisted development practices and maintain a full-stack mindset, using frontier tooling to move faster and build more resilient software
Requirements
Experience designing, building, and operating large-scale distributed systems in production cloud environments
Strong foundational computer science skills — data structures, algorithms, systems design, and distributed computing
Proficiency in Java and Python for backend service development, with solid SQL skills for data-driven features
Experience building, shipping, and on-calling production services with a focus on availability, reliability, and observability
A collaborative, low-ego approach to engineering — comfortable iterating quickly and working across PM, design, and peer engineering teams
BS in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience
Nice-to-Haves
Familiarity with security, governance, privacy, or compliance domains — whether from prior industry experience, coursework, or personal interest
Experience with database internals, query engines, or data platform systems
Exposure to machine learning or AI systems, particularly applied to anomaly detection, behavioral analytics, or risk classification
Contributions to developer platforms, SDKs, or multi-tenant extensibility frameworks
Experience working with security benchmarks or compliance frameworks (CIS, SOC 2, ISO 27001, NIST, etc.)
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