The Role
Manage and enhance enterprise security operations across cloud, infrastructure, applications, endpoints, and networks. Responsibilities include incident response, threat detection, vulnerability management, patching, cloud and network security, IAM, DevSecOps collaboration, application security, endpoint protection, disaster recovery, compliance documentation, and security guidance.
Summary Generated by Built In
Job Description – Cybersecurity / Security Operations Engineer
Role Summary
We are seeking an experienced Cybersecurity professional to manage and enhance enterprise security operations across cloud, infrastructure, applications, endpoints, and networks. The role involves incident response, vulnerability management, cloud security, DevSecOps collaboration, and implementation of security best practices to strengthen the organization’s overall security posture.
Key Responsibilities
- Manage day-to-day security operations, monitoring, incident response, and threat detection activities.
- Investigate security alerts, perform root cause analysis, and coordinate remediation efforts.
- Conduct vulnerability assessments, patch management, and security hardening across systems and platforms.
- Secure cloud environments, enterprise infrastructure, networks, and SaaS platforms.
- Manage Identity & Access Management (IAM), MFA, privileged access, and role-based controls.
- Collaborate with DevOps and engineering teams to implement secure SDLC and DevSecOps practices.
- Support application security activities including vulnerability scanning, API security testing, and penetration testing coordination.
- Administer endpoint security, EDR/XDR solutions, firewalls, VPNs, IDS/IPS, and network security controls.
- Support disaster recovery, business continuity, and infrastructure resilience initiatives.
- Maintain security policies, documentation, audit evidence, and compliance support activities.
- Provide security guidance to cross-functional teams and stay updated on emerging cyber threats and industry trends.
Required Skills
- Strong hands-on experience in:
- Security Operations & Incident Response
- Vulnerability Management
- Cloud & Infrastructure Security
- Endpoint & Network Security
- Identity & Access Management
- Security Monitoring & Logging
- Application Security & DevSecOps
- Experience with cloud platforms:
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
- Familiarity with:
- SIEM tools
- EDR/XDR solutions
- Firewalls & VPN technologies
- Linux & Windows administration
- Containers & Kubernetes
- CI/CD pipelines
- Scripting & automation tools
Experience Requirements
- 7–10+ years of experience in Cybersecurity, Security Engineering, Infrastructure Security, or related roles.
- Experience in SaaS, cloud, technology, or product-based environments preferred.
- Strong operational security and incident handling experience is essential.
- Experience supporting enterprise-scale security technologies and security operations.
Skills Required
- 7-10+ years of experience in cybersecurity, security engineering, infrastructure security, or related roles
- Hands-on experience with security operations and incident response
- Experience with vulnerability management
- Experience with cloud and infrastructure security
- Experience with endpoint and network security
- Experience with identity and access management
- Experience with security monitoring and logging
- Experience with application security and DevSecOps
- Experience with AWS, Microsoft Azure, and Google Cloud Platform
- Familiarity with SIEM tools, EDR/XDR solutions, firewalls, and VPN technologies
- Familiarity with Linux and Windows administration
- Familiarity with containers, Kubernetes, CI/CD pipelines, and scripting or automation tools
- Experience in SaaS, cloud, technology, or product-based environments
- Experience supporting enterprise-scale security technologies and security operations
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The Company
What We Do
AidenAI builds and operates enterprise AI solutions, including AI agents and its unified agentic platform for modernizing legacy technology, transforming business logic and data, validating outcomes, and accelerating migration. It supports organizations from AI strategy through integration and ongoing operations, while providing tools to build, deploy, govern, and measure enterprise agents. Its services are intended to move AI beyond experimentation and embed it into business operations.









