AI Summary
Protect client data platforms and code environments from AI-driven attacks. Prevent vulnerabilities early and accelerate remediation using AI. Requires strong AWS security expertise and experience with security scanning tools.
Key Highlights
Shift-left security: prevent vulnerabilities in code
Catch issues before they reach production
Accelerate remediation at AI speed
Experience with AWS security services and automation
Technical Skills Required
Benefits & Perks
100% Remote
Job Description
Data Platform and Security Engineer 100% REmote
Job Description
Focuses on hardening Client s Data Platforms and code environment against AI-driven attacks (like Mythos) by preventing vulnerabilities early and accelerating remediation using AI.
Objectives
- Preventing vulnerabilities in code (shift-left security)
- Embed controls earlier in the Data platforms
- Catch issues before they reach production
- Accelerating remediation at AI speed
- Handle vulnerability volume and velocity driven by AI tools
- Improve throughput of fixing vulnerabilities
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- AWS Security & Automation Expertise
- Strong understanding of core AWS security and governance services, including IAM, Secrets Manager, KMS, and Service Control Policies (SCPs)
- Experience with infrastructure automation and serverless frameworks, such as CloudFormation, Lambda, and Step Functions
- Security & Vulnerability Management
- Experience with security scanning and analysis tools, such as SAST, Snyk, EchoAI, and AI-assisted penetration testing tools
- Proven ability to identify, prioritize, and remediate vulnerabilities across applications and cloud infrastructure
- Specific Experience Requirements
- Data Sharing: Snowflake and enterprise File Transfer solutions
- File Transfer
- SFTP
- Amazon Transfer Family (nice to have)
- Data Sync
- Storage Gateway
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