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Farmers Branch, TX · Montgomery, AL · Little Rock, AR · Hartford, CT · Washington Dc, DC · Dover, DE · Tallahassee, FL · Atlanta, GA · Springfield, IL · Indianapolis, IN · Topeka, KS · Frankfort, KY · Baton Rouge, LA · Boston, MA · Annapolis, MD · Augusta, ME · Lansing, MI · Saint Paul, MN · Jefferson City, MO · Jackson, MS · Raleigh, NC · Lincoln, NE · Concord, NH · Trenton, NJ · Albany, NY · Columbus, OH · Oklahoma City, OK · Harrisburg, PA · Providence, RI · Columbia, SC · Nashville, TN · Austin, TX · Richmond, VA · Montpelier, VT · Madison, WI · Charleston, WV
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BOOZ, ALLEN & HAMILTON, INC.

DevSecOps Engineer

Fayetteville, NC, United States

The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).

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Job details

Pay: The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).
Working hours: 20 hours a week
Posting language: English
Posted: Nov 8, 2026

Original job description

DevSecOps Engineer

The Opportunity:

Modernizing digital infrastructure in classified environments demands engineers who can build secure enterprise platforms, operate them reliably, and elevate the teams that depend on them. As a Senior DevSecOps Engineer, you will design, deploy, and troubleshoot containerized systems in air-gapped environments, develop and optimize production CI / CD pipelines, author and refine Infrastructure-as-Code, and embed security, observability, and reliability into every layer of the delivery stack.

You'll serve as a technical anchor for a cloud-focused DevOps team supporting the DoD, combining hands-on engineering expertise with a deliberate mentorship mission. You will coach active-duty military personnel and government civilians, lead technical exchanges and labs, and strengthen the organization's ability to operate critical systems independently and sustainably.

You will also help drive early-stage artifi cia l intelligence ( AI ) adoption, including prototyping, evaluating AI-enabled capabilities, and responsibly applying AI / ML tooling within classified constraints. Your work will shape how the organization leverages automation, analytics, and modern platform engineering practices in highly restricted environments.

Operate at the intersection of Kubernetes, cloud-native architectures, enterprise automation, and emerging AI technologies while helping develop the next generation of technical operators.

Grow your skills at the leading edge of innovation.

Join us. The world can't wait.

You Have:

5+ years of experience with IT, systems, or sof tware engineering
2+ years of experience with DevOps or DevSecOps, including building and operating production CI / CD pipelines
Experience administering Kubernetes clusters in production, including lifecycle management and day-2 operations
Experience developing Infrastructure-as-Code and configuration automation using Ansible and Terraform, Linux administration, including RHEL or Ubuntu, and scripting with Python and Bash
Experience with AWS, Azure, or Google Cloud services and cloud-native architectures
Experience supporting regulated environments such as the DoD or IC, including cybersecurity engineering processes, and air-gapped constraints
Experience with basic AI prototyping, including LLM API use, RAG workflows, or automation assistants, and using AI-assisted engineering tools responsibly
TS/SCI clearance
HS diploma or GED
DoD 8140 or 8570 IAT Level II Certification

Nice If You Have:

Experience with DoD sof tware factory ecosystems, including Platform One, Big Bang, Iron Bank, or Kessel Run
Experience with observability stacks, including Pro met heus, Grafana, or ELK or OpenSearch
Experience with service mesh and hardened platform services, including Istio, ArgoCD or Flux, or Harbor
Experience with network automation, including Nautobot or NetBox, Cisco automation, ServiceNow, or SolarWinds
Experience with Agile delivery, including Scrum or SAFe, within cross-functional teams
Experience with the military or direct support to tactical IT systems
Cloud Certification s such as AWS, Azure, or Google Cloud Certification s
CKA / CKS, RHCSA / RHCE, Terraform Asso cia te, GitLab CI, or CISSP Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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More about this job

Skills

Troubleshoot
CI/CD
Infrastructure as code
ML
Kubernetes
DevOps
Ansible
IBM Terraform
Linux
Ubuntu
Python
Bash
AWS
Microsoft Azure
Google Cloud
Cybersecurity
Engineering processes
Grafana
ServiceNow
SolarWinds
Agile
Scrum
GitLab
CISSP

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