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Senior Security Engineer, Incident Response

Remote / Online - Candidates ideally in
Jeffersontown, Jefferson County, Kentucky, USA
Listing for: Snowflake
Remote/Work from Home position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cybersecurity, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 180000 - 230000 USD Yearly USD 180000.00 230000.00 YEAR
Job Description & How to Apply Below
  • We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response
  • In this role, you will lead and architect Snowflake’s product-integrated Incident Response strategy, with a primary focus on AI and LLM security
  • You’ll design, plan, and drive the implementation of incident response capabilities across Snowflake’s AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them
  • Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads
  • Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment
  • Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers
  • Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from the ground up
  • Represent the IR team to cloud engineering, AI platform teams, corporate security, and customer-facing business units
  • Secure modern AI-native codebases operating across multi-cloud environments - including container-based inference services, RAG pipelines, vector stores, and agent orchestration layers
  • Partner with world-class AI and security engineering teams, providing expert guidance on secure architecture for high-impact AI features and customer-facing AI capabilities
  • Design and manage response capabilities built into Snowflake’s AI operational infrastructure - from model serving endpoints to Cortex Search indexes and Snowpark ML pipelines
  • Lead with data, code, and automation - build tooling that accelerates detection and response for product security incidents at Snowflake scale
  • Drive meaningful security outcomes for the customers and enterprises trusting Snowflake with their most sensitive data and AI workloads
Benefits
  • Comprehensive health insurance plans
  • Health savings accounts
  • Robust retirement plans
  • Life and disability insurance
  • Weekly online lunch and learns
  • Virtual workout classes
  • Ergonomic work-from-home equipment
  • On-demand mental health and wellness programs
  • Fertility benefits and family planning resources
  • Generous time-off and various leave plans
  • Onsite and Remote Work
  • Employee discounts and pre-tax selections
  • New hire equity + Employee Stock Purchase Plan (ESPP)
  • Quarterly bonus or commission program
  • Strong communication skills, with the ability to translate security risk into actionable guidance for product teams
  • Empathy for developer experience, helping AI engineers ship securely rather than slowing them down
  • SQL proficiency, plus experience building automation and tools with common programming languages (Python preferred)
  • Experience leading or actively building an application or security engineering program, with a clear point of view on securing AI/ML systems
  • Direct experience serving as incident commander for product focused security incidents
  • Working knowledge of cloud-native environments (AWS, Azure, GCP) and the threat landscape specific to SaaS and AI platforms
  • 5+ years of experience in information security, primarily in incident response, security engineering, or product/application security (preferred)
  • Experience with threat modeling and security testing across AI attack surfaces, including prompt injection, indirect injection, model inversion, embedding extraction, and supply chain attacks on AI dependencies
  • Bachelor’s degree in Computer Science or a related field, or equivalent…
Position Requirements
10+ Years work experience
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