DevSecOps Engineer

Quantum Business Advisory USA Corp•Washington, DC
•Hybrid

About The Position

We are building a team for one of the U.S. Federal Government's largest technology modernization programs, underpinning the U.S. capital markets. Built on AWS and leveraging an AI-powered software engineering platform, this program offers a unique opportunity to gain hands-on experience with next-generation AI, Agentic AI, cloud technologies, and AI-driven engineering. If you are looking for technically challenging work, exceptional learning, and a résumé-defining opportunity with national impact, I would love to connect.

Requirements

  • 5+ years of DevOps, DevSecOps, or cloud engineering experience.
  • Experience building and supporting CI/CD pipelines in AWS environments.
  • Experience implementing security automation within software delivery pipelines.
  • Experience supporting Agile software development teams.
  • DevSecOps.
  • CI/CD pipeline development.
  • AWS cloud services.
  • Infrastructure as Code (IaC).
  • Security automation.
  • Deployment automation.
  • Cloud-native application delivery.
  • Secure software development lifecycle (SDLC).
  • Strong troubleshooting and collaboration skills.
  • U.S. work authorization.
  • Ability to obtain a Public Trust clearance.
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, Cybersecurity, or a related technical discipline (or equivalent professional experience).

Nice To Haves

  • Experience with containerization technologies and orchestration platforms.
  • Experience with vulnerability scanning and compliance automation.
  • AWS certification.
  • Federal government or regulated-industry experience.
  • Familiarity with AI-assisted software development and DevOps tools.
  • AWS Certification (Associate or Professional).
  • Security or DevOps certification (e.g., Security+, AWS Security Specialty, or equivalent).

Responsibilities

  • Design, implement, and maintain secure CI/CD pipelines supporting cloud-native application delivery.
  • Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) practices.
  • Integrate security scanning, vulnerability assessment, and compliance validation into automated delivery pipelines.
  • Support secure application deployment across AWS cloud environments.
  • Collaborate with development, architecture, cloud, and security teams to implement DevSecOps best practices throughout the SDLC.
  • Implement deployment automation, release management, and environment management processes.
  • Monitor pipeline health, troubleshoot deployment issues, and continuously improve delivery performance.
  • Leverage AI-assisted development and DevOps tooling to improve software quality, productivity, and operational efficiency.
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