Innovate With Us

Cybersecurity Engineer

About Us

ÆONIS SYSTEMS is looking for a Cybersecurity Engineer to ensure the security, privacy, and compliance of AI-driven healthcare and education applications. This role focuses on identifying vulnerabilities, securing cloud-based AI models, and implementing security best practices to protect sensitive data. The ideal candidate has expertise in threat detection, encryption, and compliance with industry security standards.

Important Note: Until funding is secured, we ask for a commitment of 10-15 hours per month to ensure steady progress while respecting your time and contributions. This role is open to global applicants and can be remote.

Key Responsibilities

  • Security Architecture: Design and implement secure infrastructures for AI and software applications.

  • Threat Detection & Mitigation: Monitor, analyze, and prevent cyber threats, vulnerabilities, and potential breaches.

  • Data Encryption & Protection: Ensure end-to-end encryption, secure key management, and data masking for AI-driven applications.

  • Access Control & Authentication: Implement OAuth, SAML, JWT authentication, and role-based access control (RBAC).

  • Cloud Security: Secure cloud environments (AWS, GCP, Azure) by configuring firewalls, VPNs, and IAM policies.

  • Compliance & Regulatory Standards: Ensure HIPAA, GDPR, SOC 2, and other relevant security frameworks are followed.

  • Incident Response: Develop incident response plans and conduct security audits and penetration testing.

  • Collaboration: Work closely with AI engineers, DevOps, and compliance teams to enforce security best practices.

Qualifications

  • Experience: Minimum 3+ years in cybersecurity, cloud security, or IT security engineering.

  • Technical Background: Bachelor's in Cybersecurity, Computer Science, or related fields preferred.

  • Security Tools & Frameworks: Experience with SIEM tools, IDS/IPS, endpoint security solutions.

  • Programming & Scripting: Proficiency in Python, Bash, or PowerShell for automation and security testing.

  • Network & Cloud Security: Knowledge of firewalls, VPNs, DDoS protection, and cloud security configurations.

  • Compliance Knowledge: Experience with HIPAA, GDPR, ISO 27001, SOC 2, PCI-DSS, FedRAMP, or NIST cybersecurity frameworks.

  • Penetration Testing: Hands-on experience in penetration testing, vulnerability assessment, and ethical hacking is a plus.

Work Model & Expectations

  • Commitment: 10-15 hours per month.

  • Work Type: Remote

  • Location: Open to global applicants.

  • Compensation: Currently voluntary; early contributors will be prioritized for paid roles once funding is secured

Let’s work together.

If you're passionate about securing AI-driven healthcare and education platforms, apply today and help protect the future of ethical AI!