Cloud and AI/ML Platform Security Engineer
Tasks
- Collaborate with data scientists and ML engineers on secure AI ML solutions
- Conduct cloud security risk assessments
- Create and update cloud security standards for assets and software
- Deliver cloud security expertise to development teams
- Design secure cloud architectures
- Detect security breaches and anomalous behavior
- Develop and test security solutions for cloud and SaaS
- Execute security architectures for cloud hybrid systems
- Lead incident response preparation detection analysis containment eradication recovery
- Maintain cloud security posture and operational security policies
- Manage cloud security access management and data protection
- Monitor cloud systems for unauthorized access
- Produce security reports and risk focused trends
- Remediate AI ML pipeline vulnerabilities and insecure configurations
- Remediate network and application vulnerabilities
- Support AI ML platform monitoring for anomalous behavior
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Batch | AWS CloudFormation | AWS CloudTrail | AWS CloudWatch | AWS GuardDuty | AWS Identity | AWS Identity and Access Management | AWS Lambda | AWS Organizations | AWS Security | AWS Security Hub | Access Management | Amazon S3 | Cloud Security | Computer forensics | Cyber Security | Data Loss Prevention | Data Protection | Data loss | Detection and prevention systems | Disaster Recovery | DynamoDB | Endpoint Security | Endpoint protection | File integrity | File integrity monitoring | Identity and Access Management | Incident Response | Integrity monitoring | Intrusion Detection | Intrusion detection and prevention | Intrusion detection and prevention systems | KMS | Loss prevention | Malware analysis | Network Security | Prevention systems | Risk Assessment | SFTP | SIEM | Security Hub | Security controls | VPC | Vulnerability Management
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