Cybersecurity Specialist
- Джерело:
- djinni.co
Що робити
- Assess the company's cybersecurity risks across internal systems, websites, cloud platforms, email, file storage, databases, and third-party tools.
- Implement and manage security best practices for Google Workspace, Microsoft 365, cloud services, websites, CRM systems, databases, automation tools, and internal dashboards.
- Set up and maintain strong access control, role-based permissions, password policies, MFA, account recovery procedures, and offboarding processes.
- Conduct vulnerability assessments, security audits, and risk reviews.
- Monitor potential threats, suspicious activity, unauthorized access attempts, phishing risks, malware, and data exposure.
Що очікуємо
- Experience in cybersecurity, information security, IT security, cloud security, security operations, or similar role.
- Experience with Microsoft Azure cloud security is required (e.g., Azure AD/Entra ID, Azure Security Center, role-based access control, network security groups, Azure compliance tools).
- Strong understanding of cybersecurity fundamentals, including access control, MFA, phishing prevention, endpoint security, network security, vulnerability management, and incident response.
- Experience securing business systems such as Google Workspace, Microsoft 365, Slack, Notion, Airtable, CRM platforms, cloud storage, and collaboration tools.
- Knowledge of website and application security, including OWASP risks, SSL/TLS, DNS, firewalls, backups, and secure configuration.
Що пропонуємо
- Experience with ISO 27001, SOC 2, GDPR, NIST, CIS Controls, or other security/compliance frameworks.
- Experience with endpoint detection and response tools, SIEM platforms, VPNs, firewalls, password managers, MDM tools, and cloud security platforms.
- Experience with AWS, Google Cloud, Cloudflare, GitHub, Docker, databases, APIs, and automation platforms.
- Experience with penetration testing, red-team/blue-team exercises, phishing simulations, or social engineering defense.
- Experience securing AI workflows, LLM tools, automation systems, data pipelines, and research platforms.
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