Principal Cloud Security Engineer
Core
Designing, implementing, and automating security architectures and controls for cloud, AI/ML, and data platforms to ensure safe innovation and compliance.
Role type
Principal Cloud Security Engineer (AI/ML & Data focus)
Builds
Secure cloud environments (AWS/Azure), AI/ML security frameworks, automated security pipelines, and data protection controls.
Domain
Cloud Security, AI/ML Security, Data Security, DevSecOps
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud security architecture, AI/ML threat modeling, security automation, IAM, cryptography, scripting (Python/PowerShell/Bash), compliance frameworks, data loss prevention, network security, infrastructure as code security
Preferred skills
AI security certifications (CDAI, CompTIA AI+), data security credentials (CDPSE, CIPP), advanced AI/ML platform knowledge
Technologies
AWS, Azure, TensorFlow, PyTorch, SageMaker, Azure ML, Snowflake, Databricks, AWS Redshift, Azure Synapse, Checkov, tfsec, Prisma Cloud, AWS Security Hub, AWS GuardDuty, Microsoft Defender for Cloud, Azure Sentinel, Wireshark, Burp Suite, nmap, Nessus, Metasploit
Responsibilities
Assess, design, and automate security solutions for AWS and Azure; create and maintain cloud security patterns; build security baseline controls and embed them in CI/CD pipelines; review and approve security-relevant code and configuration changes; define and apply security frameworks for AI/ML systems across the full lifecycle; identify and reduce AI-specific risks; partner with data science teams to integrate security into MLOps workflows; implement and operate DSPM tooling; lead cybersecurity risk assessments for new technologies; support investigation and remediation of security incidents.
Seniority
Principal, hands-on IC with strategic influence
