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Job Description
Job Title:
DevSecOps/AI Cloud Security Engineer Locations:
Malvern, PA or Charlotte, NC -
Hybrid Duration:
Longterm Objectives:
Preventing vulnerabilities in code (shift-left security) Embed controls earlier in the Data platforms Catch issues before they reach production 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 (Core skills) 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 (Core skills) 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 Cloud Platform Experience Across Key Domains (Domain-specific skills) Storage (Bessie Chen): Amazon S3 (including S3 family services), EFS, and EBS Data Sharing (Steve Taglianetti): Snowflake and enterprise File Transfer solutions Streaming (Gilbert Kim): Amazon Kinesis, EventBridge, SQS, Confluent Kafka, and Tableflow Database & Replication Services (Jeff Simth): Cloud databases such as Aurora, DynamoDB, Redshift, Data Migration and Replication tools (e.g., AWS DMS, Qlik Replicate)