Jobs · Engineering · Washington

Software Engineer - Trust Center

Snowflake · Bellevue, WA · 3 wk ago
Engineering$160k–$230k/yrFull-time

About the role

The Trust Center team builds a trust and risk management platform to empower Snowflake customers to monitor, identify, achieve, and maintain strong security, governance, privacy and compliance posture and allow for effective and simple risk management within Snowflake.

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
  • 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

Qualifications

  • BS in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience

Skills

  • 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.)

Benefits

  • Medical, dental, vision, life, and disability insurance
  • 401(k) retirement plan
  • Flexible spending & health savings account
  • at least 12 paid holidays
  • paid time off
  • parental leave
  • employee assistance program
  • and other company benefits

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