Incident Response Engineer
Security Engineer · Senior · Full Time · Remote
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Role
What you'll do.
Join Snowflake's Incident Response team as a Security Incident Response Engineer and help redefine incident handling at scale by combining autonomous AI agents with human expertise. This senior-level role focuses on detecting, investigating, and containing threats across Snowflake's rapidly expanding cloud and AI infrastructure through innovative agentic workflows, security automation, and advanced threat analysis. You'll lead critical security investigations, build sophisticated incident response automation pipelines, and shape the future of enterprise security operations in the AI-native era.
Responsibilities
- Lead Agentic Incident Response Operations: Spearhead deployment, configuration, and continuous refinement of autonomous AI agents that execute initial incident triage, context gathering, and rapid investigation workflows. Partner with these agentic systems alongside human Incident Commanders to accelerate threat detection and response times across Snowflake's cloud infrastructure and AI platforms.
- Manage Critical Security Incidents: Handle escalations and serve as Incident Commander for critical security incidents affecting Snowflake's data platform. Direct incident response efforts, coordinate cross-functional teams, and ensure proper containment, eradication, and recovery procedures are executed with precision and speed.
- Build Incident Response Automation: Develop and maintain sophisticated automation pipelines, scripts, and agentic workflows using Python and industry-standard orchestration tools. These systems should continuously reduce manual toil, programmatically enrich security alerts, and enable faster investigation cycles across the security stack.
- Conduct Advanced Threat Analysis: Perform static and dynamic malware analysis using sandbox environments and AI-assisted reverse engineering tools. Translate incident findings and root-cause analysis into both immediate tactical security fixes and long-term strategic engineering objectives that strengthen Snowflake's defenses.
- Enhance Detection and Threat Signatures: Create, refine, and improve security detections, threat signatures, and guardrails specifically designed to identify both traditional attack vectors and emerging AI-driven threats targeting frontier AI infrastructure, model training pipelines, and AI agent permission models.
- Cross-Functional Security Collaboration: Partner closely with Threat Detection, Automation, Product Security, Legal, HR, Cloud, and Data teams to ensure holistic incident response capabilities. Participate in sensitive investigations including insider risk cases, coordinating closely with Legal and HR on complex security matters.
- Maintain On-Call Readiness: Participate in periodic on-call rotation responsibilities with flexibility for non-traditional working hours. Ensure rapid response capabilities are maintained for emerging security incidents affecting Snowflake's infrastructure and customer data platforms.
Qualifications
What we look for.
Technical
Advanced Security Stack Proficiency
Expert-level experience with EDR (Endpoint Detection and Response), SIEM (Security Information and Event Management), SOAR (Security Orchestration, Automation and Response), and DLP (Data Loss Prevention) solutions across endpoints, identity providers, SaaS applications, and cloud workloads. Demonstrated ability to configure, tune, and optimize these tools for maximum detection efficacy.
Python Programming
Proficiency in Python to build automated orchestration pipelines, reduce manual incident response overhead, and programmatically enrich security alerts with contextual threat intelligence. Experience with libraries and frameworks commonly used in security automation and data processing.
Cloud Security Architecture
Expert-level understanding of cloud security architectures across AWS, GCP, or Azure. Knowledge of cloud-native threat vectors, identity and access management at scale, network security in distributed environments, and cloud compliance frameworks relevant to incident response operations.
Container and Kubernetes Security
Advanced knowledge of container runtime isolation technologies including Docker and Kubernetes. Understanding of container escape vectors, image vulnerabilities, supply chain security, and orchestration-level attack surfaces in containerized infrastructure.
AI/LLM Security Expertise
Deep familiarity with AI and LLM tooling, security copilots, and AI-driven telemetry systems used to accelerate investigations and threat triage. Experience with securing frontier AI infrastructure including model training and serving pipelines, AI agent permissions frameworks, and detection of AI-driven attacks.
Malware Analysis Capabilities
Ability to perform both static and dynamic malware analysis using sandbox environments and modern AI-assisted reverse engineering tools. Competency in identifying malware behavior patterns, determining indicators of compromise, and assessing threat severity in incident investigations.
Education
Bachelor's Degree (Preferred)
Bachelor's degree in Computer Science, Cybersecurity, Information Security, or related field. Equivalent professional experience in incident response and security operations is acceptable and equally valued.
Experience
Incident Response Leadership
2+ years of relevant incident response or security operations experience with strong capability to lead security investigations and serve as Incident Commander for critical incidents. Hands-on experience managing incidents from initial detection through investigation, containment, and post-incident analysis.
AI-Driven Threat Detection
Proven ability to detect, investigate, and respond to modern AI-driven attacks targeting machine learning systems, large language models, and AI infrastructure. Experience translating emerging AI security threats into actionable detection rules and incident response procedures.
Security Automation Development
Track record of building and improving security automation workflows that reduce incident response time, eliminate manual toil, and improve detection accuracy. Experience orchestrating multiple security tools and data sources to create cohesive incident response processes.
Skills
Required
Incident Response & Investigation
Master-level incident response methodology, forensic investigation techniques, and incident command capabilities with ability to orchestrate complex, multi-team security incidents.
Security Tools Integration
Advanced expertise with EDR, SIEM, SOAR, and DLP platforms. Ability to perform queries, tune detections, and extract actionable intelligence across multiple security tools simultaneously.
Python Automation
Strong Python development skills focused on building incident response automation, alert enrichment scripts, and orchestration workflows that integrate multiple security data sources.
Cloud Security Analysis
Deep understanding of cloud-native security architectures, cloud incident response procedures, and cloud-specific threat vectors across AWS, GCP, or Azure environments.
AI/LLM Security
Expertise in AI security risks, LLM attack vectors, and incident response specific to frontier AI infrastructure. Ability to identify and respond to AI-driven compromise attempts.
Malware Analysis
Capability to perform static and dynamic malware analysis, reverse engineering, and behavioral forensics using sandbox environments and modern analysis tools.
Root Cause Analysis
Ability to translate complex incident findings into clear root cause analysis, tactical security fixes, and strategic long-term security engineering improvements.
Preferred
Threat Hunting Expertise
Nice to haveExperience developing and executing proactive threat hunting campaigns, detection engineering, or building detection-as-code programs to identify advanced threats before incidents occur.
Sensitive Investigation Experience
Nice to haveTrack record conducting complex investigations requiring Legal and HR coordination, including insider risk cases, data exfiltration scenarios, and sensitive security matters requiring discretion.
Large-Scale Data Platform Experience
Nice to haveFamiliarity with large-scale data platforms and demonstrated ability to query and analyze massive volumes of security telemetry data to identify attack patterns and anomalies.
Open Source Security Community
Nice to haveActive contributions to open-source security tooling, detection rules, YARA signatures, or active participation in the broader security community demonstrating thought leadership.
Industry Certifications
Nice to haveRelevant security certifications such as GCIH (Global Certified Incident Handler), GCFA (GIAC Certified Forensic Analyst), or GREM (GIAC Reverse Engineering Malware) demonstrating formal security expertise validation.
AI Security Certifications
Nice to haveSpecialized certifications in AI security, machine learning security, or secure LLM development demonstrating advanced knowledge in emerging AI threat landscapes.
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 143,000 – 205,800
Equity·Stock options
Full posting
Original listing.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Security Incident Response Engineer to join our Incident Response team. You will help redefine how incidents are handled at scale, pairing autonomous AI agents with human judgment so that we can detect, investigate, and contain threats faster across a rapidly growing cloud and AI footprint.
AS A SECURITY INCIDENT RESPONSE ENGINEER AT SNOWFLAKE, YOU WILL:
Join a high-impact team of security experts to scale security at one of the fastest-growing software companies ever
Spearhead an agentic approach to Incident Response by deploying, guiding, and refining autonomous AI agents that execute initial triage, context gathering, and rapid investigation alongside human Incident Commanders
Handle escalations, lead security investigations, and act as Incident Commander for critical incidents
Build scripts, automation pipelines, and agentic workflows that continuously enhance Snowflake's incident response capabilities
Partner closely with our Threat Detection, Automation, Product Security, Legal, HR, Cloud, and Data teams
Create and improve detections, threat signatures, and guardrails for both traditional and AI-driven attack vectors
Participate in a periodic on-call rotation, which may involve non-traditional working hours
OUR IDEAL SECURITY INCIDENT RESPONSE ENGINEER WILL HAVE:
2+ years of relevant experience in incident response or security operations preferred
Strong experience in incident response, security investigations, and running incidents as the Incident Commander
Advanced experience using security stack capabilities (EDR, SIEM, SOAR, DLP) across endpoints, identity providers, SaaS, and cloud workloads
Deep familiarity with AI/LLM tooling, security copilots, and AI-driven telemetry to accelerate investigations, threat triage, and post-incident reporting
Knowledge of securing frontier AI infrastructure, including model training and serving pipelines and AI agent permissions
Proven ability to detect and respond to modern AI-driven attacks
Proficiency in Python to build automated orchestration pipelines, reduce manual incident response toil, and programmatically enrich security alerts
Expert-level understanding of cloud security architectures (AWS, GCP, or Azure) and container runtime isolation (Docker, Kubernetes)
Ability to translate incident findings and root-cause analysis into short-term tactical fixes and long-term security engineering objectives
Ability to perform static and dynamic malware analysis using sandbox environments and modern AI-assisted reverse engineering tools
BONUS POINTS FOR THE FOLLOWING:
Experience with threat hunting or building detection-as-code programs
Experience running sensitive investigations alongside Legal and HR, such as insider risk cases
Familiarity with large-scale data platforms and using them to analyze security telemetry
Contributions to open-source security tooling, detection rules, or the broader security community
Industry certifications such as GCIH, GCFA, or GREM
WHY JOIN OUR INCIDENT RESPONSE TEAM AT SNOWFLAKE?
This is an opportunity to shape what incident response looks like in the agentic era. You will work on the front line of defending one of the world's most important data platforms, building the AI-driven workflows that let a team of experts respond with the speed and precision that modern threats demand.
You will work across Detection, Product Security, Cloud, Legal, and HR, see incidents end to end, and turn what you learn into lasting improvements to how Snowflake protects its customers and its people.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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