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Staff Security Engineer, AI-Driven Detection – Response
Fullscript. Define and drive Fullscript’s defensive threat detection, incident response, and AI-assisted SecOps capability across cloud infrastructure, identity, endpoints, and application ecosystems .
Tech Stack
Tools & technologiesAWSCloudJavaScriptPythonTerraform
About the role
Key responsibilities & impact- Define and drive Fullscript’s defensive threat detection, incident response, and AI-assisted SecOps capability across cloud infrastructure, identity, endpoints, and application ecosystems
- Set multi-quarter technical direction for detection and response across Security, Platform, and Engineering teams
- Architect, author, maintain, test, tune, and retire detection logic across SIEM, cloud infrastructure, identity systems, endpoint protection, and AI/ML pipelines
- Establish detection coverage and defensive controls against AI and agentic threat vectors, including prompt injection, tool misuse, and data exfiltration
- Measure detection coverage, precision, false-positive rate, and time-to-detect
- Create dashboards and reporting for alert volume, response times, and trends
- Design and deploy AI-assisted investigation workflows using LLMs and automated agents
- Build and extend internal security tooling for identity resolution, cross-source log correlation, and natural-language security telemetry queries
- Automate handoffs between detection tooling and ticketing systems
- Lead and support security investigations from triage through containment and resolution
- Mentor Security Operations team members and establish standards for rule quality, detection-as-code, and investigation rigor
- Partner with business teams to investigate and remediate security escalations
- Maintain and improve incident response playbooks
- Participate in an on-call rotation outside business hours
- Threat model systems, AI agents, and services
- Lead defensive testing, purple-teaming, and adversarial validation exercises
- Ensure AI services and features expose necessary logging and telemetry
- Evaluate authorization and access-control changes and drive remediation
- Operationalize threat intelligence into actionable detections and tracked follow-up work
- Coordinate IOC blocking across endpoint, network, and web layers
Requirements
What you’ll need- 8+ years of experience in detection engineering, incident response, or security engineering, with demonstrated leadership in shaping organizational security strategy
- Practical experience incorporating AI tooling into SecOps workflows and familiarity with detection strategies for AI-specific threat vectors
- Strong scripting/automation skills in Python, JavaScript, or similar
- Experience building workflows in a SOAR-style or workflow automation platform
- Experience managing security controls as code, such as Terraform, through peer review rather than manual console changes
- Experience securing cloud environments, preferably AWS, and modern SaaS/identity stacks
- Hands-on incident response experience: triage, investigation, containment, and postmortem/playbook development
- Working knowledge of adversary tradecraft, including MITRE ATT&CK, and ability to translate it into practical, tuned detections
- Ability to partner directly with engineering and infrastructure teams to define telemetry and control requirements
- Excellent written communication
- Experience contributing to or building from open detection content, such as Sigma rules or community rule repositories (bonus)
- Experience collaborating with red/purple-team exercises to validate detection coverage (bonus)
- Experience supporting a healthcare, regulated, or highly sensitive-data environment (bonus)
- Relevant certifications such as GCIH, GCFA, GCTI, or GCDA, or equivalent practical experience (bonus)
Benefits
Comp & perks- Generous PTO and competitive pay
- Fullscript’s RRSP match program for financial health
- Flexible benefits package and workplace wellness program
- Training budget and company-wide learning initiatives
- Discount on Fullscript catalog of products
- Ability to work in-office, at home, or a combination of both under the Wherever You Work Well philosophy