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Описание вакансии
Текст:
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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