Data Platform and Security Engineer
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Objectives:1. Preventing vulnerabilities in code (shift-left security)Embed controls earlier in the Data platformsCatch issues before they reach production2. Accelerating remediation at AI speedHandle vulnerability volume and velocity driven by AI toolsImprove throughput of fixing vulnerabilitiesRequired QualificationsAWS Security & Automation ExpertiseStrong 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 FunctionsSecurity & Vulnerability ManagementExperience with security scanning and analysis tools, such as SAST, Snyk, EchoAI, and AI-assisted penetration testing toolsProven ability to identify, prioritize, and remediate vulnerabilities across applications and cloud infrastructureSpecific Experience RequirementsData Sharing: Snowflake and enterprise File Transfer solutionsFile TransferSFTPAmazon Transfer Family (nice to have)Data SyncStorage Gateway