We're hiring a mid‐senior cybersecurity engineering generalist (individual contributor) to join an established security team that has limited AI experience. This hire will be the team's practical AI catalyst: applying AI/ML to improve current detection, remediation, DevSecOps, identity, and automation programs; piloting safe AI integrations; and mentoring colleagues to adopt and maintain AI‐enabled cyber outcomes. Technologies: Terraform, GitHub Actions, CrowdStrike, Microsoft Sentinel, Zscaler, Azure AD, ServiceNow. Candidate must be US‐work‐authorized.

Why this hire matters (catalyze AI adoption)

· Bring forward‐thinking, practical AI engineering into existing security programs to reduce risk faster and increase team effectiveness.

· Demonstrate measurable wins (reduced MTTR, fewer false positives, higher coverage) via pilots that the team can operationalize and scale.

· Lower adoption friction by producing reusable artifacts, runbooks, and training so the existing team can sustain AI integrations.

· Ensure responsible AI adoption with model governance, human‐in‐the‐loop controls, and clear rollback/audit procedures.

Core responsibilities (deliver and enable)

· Assess the team's current detection, response, DevSecOps, identity, and automation efforts; identify pragmatic AI opportunities that retrofit into live programs.

· Prioritize and execute AI pilots that show quick, measurable cyber value; document outcomes, safety controls, and operational runbooks for scaling.

· Build AI‐enabled detection and triage features that integrate CrowdStrike and Microsoft Sentinel telemetry to reduce analyst load and improve prioritization.

· Augment existing SOAR/ServiceNow runbooks with AI‐assisted enrichment and decisioning while keeping human oversight and audit trails.

· Improve DevSecOps programs by introducing AI‐assisted IaC checks, secure IaC templates (Terraform), and GitHub Actions automations to prevent misconfigurations.

· Advance Zero Trust and identity engineering (Zscaler, Azure AD) using AI to spotlight risky access patterns and suggest conditional access refinements.

· Produce production‐ready engineering artifacts—Terraform modules, Sentinel analytics, ServiceNow runbooks, GitHub Action snippets, and test harnesses—that integrate smoothly into current processes.

· Coach and mentor team members: run brown‐bags, create playbooks, perform pair‐programming, and help teammates operate and maintain AI features.

· Maintain rigorous model governance and security controls for AI use: data lineage, access controls, monitoring, explainability, test datasets, and rollback procedures.

· Measure and report security outcomes: MTTR, detection accuracy, analyst time saved, incident volume changes, and coverage improvements.

· Act as an internal advocate for pragmatic AI: balance innovation with safety, compliance, and operational sustainability.

Should‐have profile (skills + disposition)

· 5–10 years hands‐on cybersecurity engineering experience delivering production solutions across detection, automation, DevSecOps, identity, or endpoint areas.

· Demonstrated ability to introduce and integrate AI/ML into live security programs with measurable improvements.

· Strong Terraform and GitHub Actions experience for IaC and pipeline security; able to produce reusable modules and CI integrations.

· Operational experience with CrowdStrike telemetry and Microsoft Sentinel analytics/playbooks.

· Experience building ServiceNow/SOAR automations and integrating runbooks with detection tooling.

· Experience with Zero Trust controls (Zscaler, Azure AD conditional access).

· Production scripting/programming skills (Python preferred) and experience deploying automation to live environments with rollback and auditability.

· Strong communicator, educator, and collaborator — comfortable mentoring less‐experienced teammates and producing clear documentation and training artifacts.

· Systems thinker with a pragmatic, risk‐based approach to prioritization and delivery.

Job Type: Full-time

Pay: $90.00 - $100.00 per hour

Ability to Commute:

• Rahway, NJ 07065 (Required)

Ability to Relocate:

• Rahway, NJ 07065: Relocate before starting work (Required)

Work Location: Hybrid remote in Rahway, NJ 07065