Staff Security Engineer, AI-Driven Detection & Response

We're looking for a Staff Security Engineer to define and drive Fullscript's defensive threat detection, incident response, and AI-assisted SecOps capability across our cloud infrastructure, identity, endpoints, and application ecosystems.

This role sits at the technical core of our Security function. You will architect modern detection systems, leverage AI/ML to automate SecOps workflows, and establish defensive testing practices for AI threat vectors. Partnering with Engineering and Platform teams, you will ensure our detection and response capabilities scale with Fullscript's fast-growing, AI-first infrastructure.

The ideal candidate has owned enterprise-scale detection engineering and incident response end-to-end. You are a pragmatic, forward-thinking engineer who excels at designing AI-augmented SOC workflows, conducting targeted AI defensive testing, and converting threat telemetry into automated, high-precision detection and response systems.

• Set the multi-quarter technical direction for detection and response, and drive it across Security, Platform, and Engineering teams.

• Architect, author, and maintain advanced detection logic across SIEM, cloud infrastructure, identity systems, endpoint protection, and AI/ML pipelines.

• Establish detection coverage and defensive controls against emerging AI and agentic threat vectors (e.g., prompt injection, tool misuse, and data exfiltration patterns).

• Own the full rule lifecycle, from authoring and testing through tuning and retirement, and measure it against concrete signals: detection coverage, precision (false-positive rate), and time-to-detect.

• Create and maintain dashboards and reporting that give leadership visibility into alert volume, response times, and trends over time.

• Design and deploy AI-assisted investigation workflows that leverage LLMs and automated agents to accelerate triage, context enrichment, and threat containment.

• Build and extend internal security tooling to support identity resolution, cross-source log correlation, and natural-language querying over security telemetry.

• Automate the handoff between detection tooling and our ticketing system so investigations move from alert to resolution with minimal manual work.

• Lead and support security investigations end-to-end, from initial triage through containment and resolution.

• Mentor Security Operations team members and set the standards the team builds against, including rule quality, detection-as-code practices, and investigation rigor.

• Partner with relevant teams across the business to investigate and remediate security escalations surfaced from Customer Support, Customer Delivery, and internal teams.

• Maintain and improve response playbooks based on lessons learned from real investigations.

• Participate in an on-call rotation to respond to security incidents outside business hours.

• Threat model new and existing systems, including AI agents and services, to identify what could go wrong, what we would need to see to catch it, and how we would respond.

• Lead defensive testing, purple-teaming, and adversarial validation exercises to test alert fidelity and evaluate detection resilience against AI-driven threats.

• Partner with Platform and Engineering teams to ensure new AI services and features expose necessary logging and telemetry for effective security monitoring.

• Evaluate authorization and access-control changes for security-relevant blast radius, and drive remediation with the engineering teams that own the affected systems.

• Operationalize threat intelligence into actionable detections and tracked follow-up work.

• Coordinate indicator of compromise (IOC) blocking across endpoint, network, and web layers.

• 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, along with familiarity with detection strategies for AI-specific threat vectors.

• Strong scripting/automation skills (Python, JavaScript, or similar) and experience building workflows in a SOAR-style or workflow automation platform.

• Experience managing security controls as code (e.g., Terraform), with changes made through peer review rather than manual console changes.

• Experience securing cloud environments (AWS preferred) and modern SaaS/identity stacks.

• Hands-on incident response experience: triage, investigation, containment, and postmortem/playbook development.

• Working knowledge of adversary tradecraft (MITRE ATT&CK) and the ability to translate it into practical, tuned detections rather than noisy alerts.

• Proven ability to partner directly with engineering and infrastructure teams to define telemetry and control requirements for systems you don't own.

• Excellent written communication. This role regularly turns investigation findings into clear, factual updates for technical and non-technical stakeholders alike.

• Experience contributing to or building from open detection content, such as Sigma rules or community rule repos.

• Experience collaborating with red/purple-team exercises to validate detection coverage.

• Experience supporting a healthcare, regulated, or otherwise highly sensitive-data environment.

• Relevant certifications (GCIH, GCFA, GCTI, GCDA, or equivalent practical experience).