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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (AI Security): Building scalable security platforms, real-time detection systems, and policy controls that protect Snowflake customers from fraud, account takeover, data exfiltration, and AI abuse with an accent on multi-cloud security, AI/ML risk scoring, and adaptive enforcement. Focus on designing foundational security primitives, detecting adversarial activity, and setting technical direction for secure, highly scalable systems.
Location: Hybrid in Bellevue, Washington or Menlo Park, California
Salary: $200,000–$287,500 per year
Company
Snowflake provides a cloud data platform and is developing security foundations for a large-scale, multi-cloud environment.
What you will do
Design, build, and scale security-by-default capabilities across Snowflake products and cloud environments.
Develop AI/ML-powered security platforms and risk-scoring services to identify, prioritize, and respond to threats and policy violations.
Build real-time systems for detecting and preventing account compromise, AI abuse, and data exfiltration.
Create security intelligence and monitoring capabilities that detect suspicious account and user activity and support timely response.
Partner with Security, Engineering, and Product teams to define strategy and promote secure engineering practices.
Set standards for system design, code quality, operational excellence, and scalable security architecture.
Requirements
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
5+ years of software development experience with 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 leading projects independently and setting technical direction.
Ability to work in a hybrid arrangement in Bellevue, Washington, or Menlo Park, California.
Nice to have
Master’s degree or PhD in Computer Science or a related technical field.
Experience with AWS, GCP, and Azure infrastructure.
Hands-on experience with static analysis, dynamic analysis, authentication and access management, DDoS mitigation, or security scanning.
Background in secure software development lifecycle practices.
Strong interpersonal and communication skills for cross-functional partnerships.
Culture & Benefits
Ownership and collaboration are emphasized across the engineering organization.
Engineers have opportunities to innovate, drive impact, and influence the roadmap.
The role focuses on foundational security capabilities rather than legacy point solutions.
Work involves adversarial engineering challenges across fraud, account takeover, data exfiltration, and emerging AI security threats.
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