Ashburn Consulting

Ashburn Consulting

Senior Security Code Reviewer

Camp Springs, MD, United States · Senior

Work authorization requiredDetected 54 days ago
JavaScriptPythonJavaC#RubyPowerShellReactNode.jsCode ReviewSQLAWSTerraformCI/CDCybersecurityNetwork SecuritySIEMFirewallZero TrustMentoringWriting

About the role

  • Ashburn Consulting, LLC, based in the Washington, DC metropolitan area, specializes in providing network and network security solutions in complex environments to a select set of government and business clients.
  • The company, an established leader in its field, is composed of an elite team of engineers and business consultants, each of whom is recognized, and highly regarded, within the network and security communities.
  • All duties performed with or without reasonable accommodations.

Requirements

  • Lifting (up to 50lbs) may be required.
  • Ladder climbing may be required.
  • Driving is required.

Nice to have

  • Conduct security code reviews and risk assessments for applications and enterprise systems.
  • Use application security testing tools to identify vulnerabilities and provide remediation guidance.
  • Integrate security testing into DevSecOps and CI/CD pipelines.
  • Review application architecture, source code, dependencies, infrastructure-as-code, and deployment practices.
  • Evaluate and improve cloud, network, and enterprise system security.
  • Provide technical writing, reporting, and mentoring to engineering and development teams.
  • Candidates must be U.S. citizens.
  • Candidates must be willing and able to work as Ashburn W-2 employees.

Equal opportunity

  • Employer/Veterans/Disabled.
  • An Equal Opportunity Employer.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status
  • Ashburn Consulting is an Equal Opportunity Affirmative Action Employer.

This listing is sourced directly from Ashburn Consulting's careers page and normalized into a canonical job model.