Cloud and AI Security Engineer
Suki AI · Remote · US
Posted 60+ days ago
Health Tech
Remote
Not yet analysed
Demand85
Career growth88
Healthcare fit35
Remote potential70
5-year outlook
Strong demand for healthcare security engineers, especially with AI/ML expertise; salary likely well above average for tech roles, with growth potential as healthcare AI expands.
Clinical license
Not required
Applicant reach
moderate
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians with a strong background in cybersecurity, cloud engineering, or health informatics should consider this role for its high impact and growth. However, without deep technical security experience, it is not a realistic entry point.
Who should apply
Clinicians (doctors, nurses, allied health) who have transitioned into IT/security roles, hold certifications like CISSP/CCSP, or have hands-on experience with cloud platforms and AI/ML security.
CV angle
Highlight any clinical experience with PHI, HIPAA compliance, and healthcare workflows, alongside technical security projects, cloud certifications, and AI/ML risk assessments. Emphasize ability to bridge clinical and technical teams.
Skills to highlight
- Cloud security (AWS/GCP/Azure)
- AI/ML security and red-teaming
- HIPAA/HITRUST compliance
- Kubernetes and container security
- Infrastructure-as-Code (Terraform)
- Identity and Access Management (IAM)
- Zero Trust architecture
- Network security (WAF, IDS/IPS)
Role summary
A senior security engineer responsible for securing cloud infrastructure, AI/ML systems, and PHI data at a healthcare AI company, ensuring compliance with HIPAA/HITRUST and leading security projects.
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