Data Platform and Security Engineer - 2 openings Hybrid Malvern, PA No assessment
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: 1. Preventing vulnerabilities in code (shift-left security)
Embed controls earlier in the Data platforms
Catch issues before they reach production
2. Accelerating remediation at AI speed
Handle vulnerability volume and velocity driven by AI tools
Improve throughput of fixing vulnerabilities
Required Qualifications
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