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
File Transfer
SFTP
Amazon Transfer Family (nice to have)
Data Sync
Storage Gateway
Numbers & Facts
Location
Malvern, PA
Skills
AWS Lambdaunmatched
Amazon Web Services (AWS)unmatched
Applications Securityunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Cloud Applicationsunmatched
Computer Securityunmatched
Customer Relationsunmatched
Establish Prioritiesunmatched
Information/Data Security (InfoSec)unmatched
Penetration Testingunmatched
Protective Servicesunmatched
Secure/SSH File Transfer Protocol (SFTP)unmatched
Security Analysisunmatched
Snowflake Schemaunmatched
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