Cybersecurity Engineer

Atlas, based in Rahway, New Jersey and operating in a hybrid environment, is seeking a mid-senior cybersecurity engineer to advance AI and ML driven capabilities across detection, remediation, DevSecOps, identity, and automation. The role emphasizes piloting safe AI integrations, measuring impact, and mentoring the team, with an hourly rate of $90-$100.

Responsibilities

• Evaluate current detection, response, DevSecOps, identity, and automation efforts and identify practical AI opportunities to retrofit into existing programs.
• Prioritize and run AI pilots delivering rapid, measurable cyber value; document results, safety controls, and scalable runbooks for expansion.
• Develop AI-powered detection and triage capabilities that fuse CrowdStrike telemetry with Microsoft Sentinel analytics to reduce analyst workload and improve prioritization.
• Enhance SOAR and ServiceNow runbooks with AI-driven enrichment and decisioning, while preserving human oversight and audit trails.
• Strengthen DevSecOps programs through AI-assisted IaC checks, secure Terraform templates, and GitHub Actions automations to minimize misconfigurations.
• Advance Zero Trust and identity engineering with AI to highlight risky access patterns and suggest refinements to conditional access (Zscaler, Azure AD).
• Produce production-ready artifacts—Terraform modules, Sentinel analytics, ServiceNow runbooks, GitHub Action snippets, and test harnesses—that integrate smoothly into current workflows.
• Coach and mentor team members through brown-bag sessions, playbook development, pair programming, and guidance on operating and maintaining AI features.
• Maintain robust model governance and security controls for AI use, including data lineage, access controls, monitoring, explainability, test datasets, and rollback procedures.
• Measure and report security outcomes such as MTTR, detection accuracy, analyst time saved, incident volume changes, and coverage improvements.
• Act as an internal advocate for pragmatic AI, balancing innovation with safety, compliance, and operational sustainability.

Requirements

• 5 to 10 years of hands-on cybersecurity engineering experience delivering production solutions across detection, automation, DevSecOps, identity, or endpoint domains.
• Proven ability to introduce and integrate AI/ML into live security programs with measurable improvements.
• Strong experience with Terraform and GitHub Actions for infrastructure as code and pipeline security; capable of producing reusable modules and CI integrations.
• Operational experience with CrowdStrike telemetry and Microsoft Sentinel analytics and playbooks.
• Experience building ServiceNow/SOAR automations and integrating runbooks with detection tooling.
• Experience with Zero Trust controls using Zscaler and Azure AD conditional access.
• Production-level scripting/programming skills (Python preferred) and experience deploying automation to live environments with rollback and auditability.
• Strong communicator, educator, and collaborator capable of mentoring less-experienced teammates and producing clear documentation and training materials.
• Systems thinker with a pragmatic, risk-based approach to prioritization and delivery.

Technologies

• Terraform
• GitHub Actions
• CrowdStrike
• Microsoft Sentinel
• Zscaler
• Azure AD
• ServiceNow

Why this hire matters

• Bring forward-thinking, practical AI engineering into existing security programs to reduce risk faster and increase team effectiveness.
• Demonstrate measurable wins such as reduced MTTR, fewer false positives, and higher coverage through pilots that the team can operationalize and scale.
• Lower adoption friction by delivering 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 and audit procedures.