DevSecOps Engineer (TS/SCI)

IBM Consulting offers careers built on long-term client relationships and global collaboration. You’ll partner with leading companies across industries to shape their hybrid cloud and AI journeys, leveraging IBM technology, Red Hat, and strategic partnerships. The role encourages curiosity, innovation, and the creation of solutions that deliver measurable impact. IBM’s culture emphasizes growth, empathy, and long-term career development while valuing your unique skills and experiences.

About the Role

Our team provides senior National Security leaders with decision-worthy data and analysis to enhance the effectiveness of Intelligence systems supporting Department of War (DoW) Warfighters. We are building mission-critical intelligence workflows to deliver decision advantage for the Office of the Under Secretary of War for Intelligence and Security, OUSW(I&S). As a DevOps Engineer, you will leverage graph technology and data visualization tools to wrangle, clean, analyze, and display data in decision support tools for senior leaders within the Department of War.

Responsibilities

• Support the development and maintenance of mission-critical intelligence workflows.
• Implement and manage platform engineering, DevOps, and DevSecOps practices.
• Automate infrastructure and environment management using cloud and platform technologies.
• Deploy and troubleshoot secure systems with a focus on configuration management, monitoring, logging, and operational support.
• Collaborate with teams to integrate graph technology and data visualization tools into decision support platforms.

Requirements

• U.S. Citizen with active TS//SCI clearance or immediate eligibility per DISS security database (SCI within the last 2 years).
• Bachelor’s Degree, preferably in STEM fields.
• 3+ years of experience in platform engineering, DevOps, DevSecOps, infrastructure automation, or environment management.
• 3+ years of experience with cloud and platform infrastructure technologies (e.g., OpenShift, Kubernetes, Docker, AWS, Azure).
• 3+ years of experience with operating systems and scripting tools (e.g., Linux, RHEL, Ubuntu, Bash, Python, PowerShell).
• 1+ years of experience supporting secure deployments, configuration management, monitoring, logging, and operational troubleshooting (e.g., Splunk, ELK, Grafana, Prometheus).

Preferred Qualifications

• Master’s Degree, preferably in STEM fields.
• Working knowledge of CI/CD (e.g., GitLab, Jenkins, Azure DevOps), infrastructure-as-code (e.g., Terraform, Ansible), and security-conscious deployment practices.
• 1+ year of experience deploying GraphAware Hume, Neo4j-backed applications, or investigative workflow platforms.
• Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing.