Automation Security Engineer

Madison-Davis, LLC

New York (NY)

On-site

USD 110,000 - 170,000

Full time

10 days ago

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Job summary

Madison-Davis, LLC seeks an Automation Security Engineer to advance security operations through Python development, SOAR orchestration, and cloud security engineering. You will design automation that links enterprise security technologies, improve incident response, streamline vulnerability management, and reduce repetitive tasks.

The role is hands-on, involves Azure security, DevSecOps, and emerging AI security considerations, with focus on security automation across cloud and on-prem

Qualifications

  • 3–5 years of cybersecurity experience.
  • Strong Python development and scripting skills.
  • Experience building security automation and tool integrations.
  • Working knowledge of SOAR and vulnerability management.
  • Practical experience with Azure cloud security.
  • Experience with REST APIs and enterprise systems integration.
  • Knowledge of DevSecOps and Infrastructure as Code.

Responsibilities

  • Develop and maintain security automation using Python and PowerShell.
  • Create API integrations connecting security platforms and infrastructure systems.
  • Design and improve SOAR workflows supporting security monitoring, investigation, and response.
  • Automate vulnerability management processes across cloud and infrastructure environments.
  • Support Azure security monitoring, identity controls, configuration management, and workload protection.
  • Build internal security tools and backend components.
  • Contribute to Infrastructure as Code and DevSecOps security practices.
  • Support the identification and management of security risks associated with AI-enabled technologies.

Skills

Python development
SOAR
PowerShell
APIs integration
Azure security
DevSecOps
Infrastructure as Code
AI security considerations
Security automation
Vulnerability management
REST APIs

Education

Bachelor's degree

Tools

SOAR platforms
Azure

Job description

An established financial-services organization is seeking an Automation Security Engineer to improve security operations through Python development, security orchestration, and cloud security engineering. The successful candidate will design and maintain automation that connects enterprise security technologies, improves incident response, streamlines vulnerability management, and reduces repetitive operational tasks. This is a hands‑on technical position involving SOAR, Python, PowerShell, APIs, Azure security, DevSecOps, and emerging AI security considerations.

RESPONSIBILITIES
  • Develop and maintain security automation using Python and PowerShell.
  • Create API integrations connecting security platforms and infrastructure systems.
  • Design and improve SOAR workflows supporting security monitoring, investigation, and response.
  • Automate vulnerability management processes across cloud and infrastructure environments.
  • Support Azure security monitoring, identity controls, configuration management, and workload protection.
  • Build internal security tools and backend components.
  • Contribute to Infrastructure as Code and DevSecOps security practices.
  • Support the identification and management of security risks associated with AI-enabled technologies.
Role Requirements
  • Approximately 3-5 years of relevant cybersecurity experience.
  • Strong Python development and scripting skills.
  • Experience building security automation and tool integrations.
  • Working knowledge of SOAR and vulnerability management.
  • Practical experience with Azure cloud security.
  • Experience with REST APIs and enterprise systems integration.
  • Knowledge of PowerShell, DevSecOps, and Infrastructure as Code.
  • Familiarity with identity security, secure system communication, and secrets management.
  • Foundational knowledge of AI security considerations.
  • Strong communication, troubleshooting, and collaboration skills.
PREFERRED EXPERIENCE
  • Hybrid cloud and on‑premises security experience.
  • Internal security tool or dashboard development.
  • Enterprise AI security or AI governance exposure.
  • AWS or GCP security knowledge.
  • Relevant bachelor's degree.
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