Position Tittle: Data Platform and Security Engineer / Location: Malvern, PA Duration: Long Term Job Details: Harden build and run for our platforms that often have an external threat vector. Tackle vulnerabilities across cloud data platforms and accelerate the SI's success through automation. 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 Responsibilities Harden the build and run processes for our platforms, which often have an external threat vector. Tackle vulnerabilities across cloud data platforms and accelerate the SI's success through automation. Qualifications Experience with security tooling such as Snyk, echoAI. Experience with vulnerability remediation.
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