Automation Security Engineer

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.

Nice to Have

• 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.