Software Engineer - Trust Center

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.)