AWS Lambda, Amazon Web Services (AWS), Applications Security, Artificial Intelligence (AI), Automation, Cloud Applications, Computer Security, Customer Relations, Establish Priorities, Information/Data Security (InfoSec), Penetration Testing, Protective Services, Secure/SSH File Transfer Protocol (SFTP), Security Analysis, Snowflake Schema
Data Platform and Security Engineer - 2 openingsHybrid Malvern, PA
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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
- Amazon Transfer Family (nice to have)
- Data Sync
- Storage Gateway
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