Product Security Engineer: Secure AI/ML on AWS

United States Digital Space LLC

New York, Washington (NY, District of Columbia)

On-site

USD 238,000 - 297,000

Full time

14 days+
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Job summary

United States Digital Space LLC is seeking a highly technical Security Engineer to join our Product Security team. You will conduct in-depth code reviews, implement security best practices, and influence our security strategy for AI/ML software ecosystems.

The role requires hands-on experience with TypeScript, Python, AWS, CI/CD, SAST, DAST, and Terraform. You will guide engineering teams, communicate complex vulnerabilities clearly, and help scale secure infrastructure across our products.

Qualifications

  • Experience in security engineering focused on product security.
  • Ability to conduct in-depth code reviews and identify vulnerabilities.
  • Experience implementing security in CI/CD pipelines and infrastructure as code.
  • Familiarity with SAST/DAST and modern web app architectures.

Responsibilities

  • Conduct in-depth code reviews to identify and remediate vulnerabilities.
  • Evaluate and enhance security across product offerings and services.
  • Implement secure CI/CD pipelines and infrastructure as code processes.
  • Perform SAST/DAST on production code to identify vulnerabilities.
  • Utilize Terraform orchestration for secure infrastructure management.
  • Explain vulnerability mechanics and potential impacts clearly to stakeholders.

Skills

Security engineering
Product security
Code reviews
Threat modeling
Exploitability analysis

Tools

TypeScript
Python
Node.js
AWS
CI/CD
SAST
DAST
Terraform
Kubernetes

Job description

United States Digital Space LLC is seeking a highly technical Security Engineer to join our Product Security team. You will conduct in-depth code reviews, implement security best practices, and influence our security strategy for AI/ML software ecosystems.

The role requires hands-on experience with TypeScript, Python, AWS, CI/CD, SAST, DAST, and Terraform. You will guide engineering teams, communicate complex vulnerabilities clearly, and help scale secure infrastructure across our products.

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