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:

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

· 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

Cloud Platform Experience Across Key Domains

· Storage Amazon S3 (including S3 family services), EFS, and EBS

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No