DevSecOps Engineer

Posted 13 Days Ago
Be an Early Applicant
Reston, VA, USA
In-Office
Senior level
Artificial Intelligence • Information Technology • Consulting
Talent Solutions for the AI Era
The Role
Build and maintain secure cloud infrastructure, CI/CD pipelines, and infrastructure-as-code solutions. Automate security controls and deployment workflows across AWS or Azure using Terraform, Ansible, Docker, Kubernetes, Jenkins, and Spinnaker. Assess architectures for vulnerabilities, implement NIST 800-53 controls, troubleshoot infrastructure and security issues, and improve scalability, reliability, and delivery efficiency. The role also develops Python automation and uses AI-assisted tools such as GitHub Copilot.
Summary Generated by Built In

The DevSecOps Engineer implements, automates, and maintains secure cloud infrastructure and CI/CD pipelines. You will build and manage infrastructure-as-code solutions, deploy and secure cloud environments, integrate security controls into development workflows, and drive DevSecOps best practices throughout the software development lifecycle. The ideal candidate has hands-on experience with AWS or Azure, containerization technologies, automation tools, and a strong commitment to improving security, scalability, reliability, and deployment efficiency.

Key Responsibilities:

  • Build and maintain secure, NIST 800-53 compliant, resilient, and high-performing cloud-native infrastructure architectures.
  • Assess cloud architectures and system designs for security vulnerabilities and implement appropriate remediation strategies.
  • Develop and maintain security automation tools and scripts using programming languages such as Python.
  • Implement and manage AWS or Azure environments, Docker containers, Kubernetes clusters, GitHub repositories, and dependency management solutions.
  • Deploy cloud infrastructure, platform components, HTTP/TLS security configurations, and compliance assets using Terraform, Ansible, Docker, and related technologies.
  • Automate routine operational and deployment tasks to improve scalability, consistency, and efficiency.
  • Create and manage automated release processes and CI/CD pipelines utilizing Jenkins, Spinnaker, and similar tools.
  • Develop and maintain Pipeline as Code (PaC) and Infrastructure as Code (IaC) solutions.
  • Deploy and manage cloud resources through scripts, manifests, and automation frameworks.
  • Troubleshoot and resolve infrastructure, network, security, and deployment-related issues.
  • Utilize AI-assisted development tools, including GitHub Copilot, to generate, review, validate, and improve code and automation workflows.

Requirements

Non-Technical Requirements:

  • Must be a U.S. Citizen.
  • Must be willing to work a HYRBID Schedule (2 Days) in Reston, VA & client locations in the Washington   D.C. area as required.
  • Ability to pass a 7-year background check and obtain/maintain a U.S. Government Clearance
  • Strong communication and presentation skills.
  • Must be able to prioritize and self-start.
  • Must be adaptable/flexible as priorities shift.
  • Must be enthusiastic and have passion for learning and constant improvement.
  • Must be open to collaboration, feedback and client asks.
  • Must enjoy working with a vibrant team of outgoing personalities.

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Engineering, or a related technical discipline.
  • 5+ years of experience in DevOps, DevSecOps, Cloud Engineering, or Infrastructure Engineering.
  • Proficiency with Linux operating systems and Shell/Bash scripting.
  • Strong programming experience with Python.
  • Hands-on experience building and operating systems and applications running on AWS or Azure cloud  platforms.
  • Experience creating Infrastructure as Code (IaC) using Terraform to deploy and manage applications and cloud infrastructure.
  • Hands-on experience with Docker image creation and containerization technologies.
  • Experience deploying and managing Kubernetes (K8s) clusters.
  • Experience utilizing command-line interfaces (CLI) to automate and create repeatable processes.
  • Experience creating Pipeline as Code solutions for complex CI/CD workflows and release automation.
  • Experience securing cloud environments and integrating security controls into CI/CD pipelines.
  • Experience working within large and complex computing environments.
  • Strong understanding of computer networks, routing, load balancing, APIs, and web application architectures.
  • Ability to troubleshoot and resolve infrastructure, security, and network-related issues.
  • Strong interpersonal, communication, and presentation skills.
  • Excellent time management skills with the ability to work within aggressive delivery schedules.
  • Experience using AI-assisted development tools such as GitHub Copilot for code generation, review, validation, and workflow automation.

Preferred Qualifications:

  • Experience with Terraform, Ansible, Jenkins, Spinnaker, and other DevOps automation platforms.
  • Experience implementing NIST 800-53 security controls and compliance requirements.
  • Experience building and securing enterprise cloud environments.
  • Experience with container security, vulnerability management, and security automation tools.



Skills Required

  • U.S. citizenship
  • Willingness to work a hybrid schedule two days in Reston, Virginia, and at client locations in the Washington, D.C. area
  • Ability to pass a seven-year background check and obtain or maintain a U.S. Government clearance
  • Strong communication and presentation skills
  • Ability to prioritize and self-start
  • Adaptability and flexibility as priorities shift
  • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Engineering, or a related technical discipline
  • 5+ years of experience in DevOps, DevSecOps, Cloud Engineering, or Infrastructure Engineering
  • Proficiency with Linux operating systems and Shell/Bash scripting
  • Strong programming experience with Python
  • Hands-on experience building and operating systems and applications on AWS or Azure
  • Experience creating Infrastructure as Code using Terraform
  • Hands-on experience creating Docker images and using containerization technologies
  • Experience deploying and managing Kubernetes clusters
  • Experience using command-line interfaces to automate repeatable processes
  • Experience creating Pipeline as Code solutions for complex CI/CD workflows and release automation
  • Experience securing cloud environments and integrating security controls into CI/CD pipelines
  • Experience working within large and complex computing environments
  • Strong understanding of computer networks, routing, load balancing, APIs, and web application architectures
  • Ability to troubleshoot infrastructure, security, and network-related issues
  • Strong interpersonal, communication, and presentation skills
  • Excellent time management and ability to work within aggressive delivery schedules
  • Experience using AI-assisted development tools such as GitHub Copilot
  • Experience with Terraform, Ansible, Jenkins, Spinnaker, and other DevOps automation platforms
  • Experience implementing NIST 800-53 security controls and compliance requirements
  • Experience building and securing enterprise cloud environments
  • Experience with container security, vulnerability management, and security automation tools
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The Company
HQ: Livermore, CA
9 Employees
Year Founded: 2025

What We Do

We provide Talent Solutions for the AI Era. Our mission is to connect businesses with exceptional talent and consulting solutions that align with your company’s culture and values. We offer AI consulting services to enable businesses in leveraging cutting-edge artificial intelligence. We help discover, design and deploy AI solutions that streamline operations, boost productivity, and unlock new growth opportunities. Our team of AI experts, strategists, and technology specialists work closely with organizations to integrate AI-driven solutions that align with their unique goals and challenges. From automation and data analytics to predictive modeling and AI-based customer experiences, we provide end-to-end support for businesses embarking on their AI transformation journey.

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