DevSecOps Engineer

Location: Herndon, VA

Clearance: Top Secret with SCI Eligibility (Active TS/SCI preferred)

Salary Range: $80,000-$250,000+ (Based on experience and education)

Join the Future of Data-Driven Decision Making

At Data Machines, we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer innovative solutions for our Federal Government, Department of Defense, and commercial customers. Our teams solve complex, mission-critical challenges using modern cloud technologies, high-performance computing, and secure software development practices.

We are seeking talented and motivated DevSecOps Engineers to support a Large (10+ PB) cloud compute environment that enables large-scale data processing and analytics for thousands of users across multiple mission systems. You will join a highly collaborative team responsible for designing, deploying, automating, securing, and sustaining cloud-native infrastructure and DevSecOps pipelines within a large OpenStack-based private cloud environment.

This role offers the opportunity to work alongside software developers, systems engineers, cybersecurity professionals, and government stakeholders to build scalable, reliable, and secure platforms supporting national security missions.

A significant portion of this position will be performed on-site at a government facility in Herndon, VA.

Key Responsibilities

• Design, deploy, and maintain highly available infrastructure supporting Large (10+ PB) cloud compute environments.
• Build, maintain, and optimize CI/CD pipelines using GitLab, Jenkins, or similar tools to automate software integration, testing, and deployment.
• Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Ansible, Chef, or similar technologies.
• Install, configure, administer, and optimize OpenStack, Kubernetes, Spark, Hadoop, Docker, and other cloud-native technologies.
• Develop automation using Python, Bash, Go, Java, or similar scripting and programming languages.
• Manage Linux-based infrastructure, including system administration, patching, performance tuning, and troubleshooting.
• Deploy and support containerized applications using Kubernetes and Docker while maintaining secure, scalable environments.
• Implement system upgrades, automation, and platform enhancements while ensuring compliance with government cybersecurity requirements.
• Monitor system health, logging, and performance to proactively identify and resolve infrastructure issues.
• Integrate security tools and automated security testing into DevSecOps workflows.
• Collaborate with cybersecurity teams to remediate vulnerabilities, implement STIG requirements, and support Authority to Operate (ATO) activities.
• Troubleshoot infrastructure, networking, automation, and deployment issues across development, testing, and production environments.
• Build internal tools, dashboards, and automation that improve developer productivity and operational efficiency.
• Participate in Agile development activities including sprint planning, code reviews, and continuous process improvement.
• Work closely with technical leadership, software developers, systems engineers, and government stakeholders to deliver secure, mission-focused capabilities.
• Continuously evaluate emerging technologies and recommend improvements to infrastructure, automation, and security practices.

Minimum Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field (or equivalent experience).
• Minimum of:
  • 8 years of relevant experience, or
  • 6 years with a Master's degree, or
  • 3 years with a PhD.
• Experience supporting Linux/Unix environments and system administration.
• Experience with cloud platforms such as OpenStack, AWS, Azure, or similar technologies.
• Hands-on experience with Kubernetes and containerized application deployments.
• Experience building and maintaining CI/CD pipelines using GitLab, Jenkins, Azure DevOps, or similar platforms.
• Experience with Infrastructure-as-Code tools such as Terraform, Ansible, Chef, or Puppet.
• Strong scripting or programming experience in Python, Bash, Go, Java, C#, or similar languages.
• Experience using Git or other source control systems.
• Understanding of networking fundamentals, DNS, load balancing, and cloud infrastructure.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively within a fast-paced technical environment.
• Willingness to learn new technologies and adapt to evolving mission requirements.
• Active Top Secret clearance with SCI eligibility.

Preferred Qualifications

• Active TS/SCI clearance.
• CI Polygraph or willingness to obtain one.
• Experience supporting Large (10+ PB) cloud compute environments.
• Experience with Spark, Hadoop, Nomad, or other distributed computing platforms.
• Experience implementing DevSecOps security tools such as Trivy, Fortify, SonarQube, GitLab SAST, ACAS, or similar technologies.
• Experience with container security and STIG implementation.
• Experience supporting Authority to Operate (ATO), Continuous Monitoring (CONMON), or cybersecurity compliance activities.
• Experience with monitoring and observability tools such as Prometheus, Grafana, or the ELK Stack.
• Experience working in Agile software development environments.
• Security+, Certified Kubernetes Administrator (CKA), RHCSA, Docker Certified Associate, or similar industry certifications.

Why Join Data Machines?

At Data Machines, you'll work alongside some of the industry's brightest engineers on challenging, mission-critical programs that directly support national security. We foster a collaborative environment where innovation, continuous learning, and technical excellence are encouraged. Whether you're building cloud infrastructure, automating deployments, or securing large-scale platforms, you'll have the opportunity to make a meaningful impact while growing your career.