Base Salary
$200k - $288k/yr
Responsibilities
- Design, build, and scale security-by-default capabilities across a complex multi-cloud environment.
- Develop intelligent security platforms and services using AI/ML and risk scoring to identify, prioritize, and respond to threats and policy violations.
- Build real-time detection and prevention systems for account compromise, AI abuse, and data exfiltration using adaptive enforcement and granular policy controls.
- Create security intelligence and monitoring capabilities that detect suspicious account activity and enable timely response.
- Partner with Security, Engineering, and Product teams to define security strategy, influence product design, and promote secure engineering practices.
- Set standards for system design, code quality, operational excellence, and scalable security architecture within Security Foundations.
Requirements
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- 5+ years of software development experience using one or more of JavaScript, Java, Python, C, C++, or Go.
- Proficiency in Python, SQL, or a similar language for building detections and data pipelines.
- Experience designing, testing, and maintaining security-focused software solutions.
- Experience independently leading projects and setting technical direction.
- A master’s degree or PhD in Computer Science or a related technical field is preferred.
- Experience with infrastructure from major cloud vendors such as AWS, GCP, or Azure is preferred.
- Experience with secure software development lifecycle or security primitives, including static analysis, dynamic analysis, authentication and access management, DDoS, or security scanning is preferred.
- Effective interpersonal and communication skills are preferred.
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.