Design and operate secure, containerized platforms in air-gapped environments, build CI/CD pipelines, and embed security and observability into cloud-native stacks while mentoring teams on modern DevSecOps practices.
Compensation
$77.5K–$176K / yr
Location
Fayetteville, NC
Work setup
Not specified
Seniority
Not specified
Employment
Part time
Experience
3+ years
Category
Devops
Posted
Skills
agile
ai
analytics
ansible
api
argocd
automation
aws
azure
bash
cisco
cissp
cloud
cloud-native
devops
devsecops
elk
flux
gcp
gitlab
grafana
infrastructure-as-code
istio
kubernetes
linux
llm
machine-learning
observability
opensearch
prototyping
python
rhel
scrum
servicenow
solarwinds
terraform
typescript
ubuntu
Nice to have
Experience with DoD software factory ecosystems, including Platform One, Big Bang, Iron Bank, and Kessel Run
Experience with observability stack, including Prometheus, Grafana, and ELK or OpenSearch
Experience with service mesh and hardened platform services such as Istio, ArgoCD or Flux, and Harbor
Experience with network automation, including Nautobot or NetBox, Cisco automation, ServiceNow, and SolarWinds
Experience with Agile delivery, including Scrum or SAFe, and cross-functional teams
Cloud Certifications such as AWS, Azure, or Google Cloud Certification
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 Platform 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 DoW, 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 artificial 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.
Join us. The world can’t wait.
You Have:
8+ years of experience with IT, systems, or software engineering
5+ years of experience with DevOps or DevSecOps, building and operating production CI/CD pipelines
3+ years of 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
Experience with Linux administration, including RHEL or Ubuntu, scripting with Python and Bash, AWS, Azure, or Google Cloud services, and cloud-native architectures
Experience supporting regulated environments such as the DoD or IC, including STIG automation, RMF or ATO processes, and air‑gapped constraints
Experience with basic AI prototyping, including LLM API use, RAG workflows, and automation assistants, and using AI-assisted engineering tools
TS/SCI clearance
HS diploma or GED
DoD 8140 or 8570 IAT Level II Certification such as Security+ CE Certification
Nice If You Have:
Experience with DoD software factory ecosystems, including Platform One, Big Bang, Iron Bank, and Kessel Run
Experience with observability stack, including Prometheus, Grafana, and ELK or OpenSearch
DevSecOps Platform Engineer at Booz Allen (Fayetteville, NC) — aijobsearch
Experience with service mesh and hardened platform services such as Istio, ArgoCD or Flux, and Harbor
Experience with network automation, including Nautobot or NetBox, Cisco automation, ServiceNow, and SolarWinds
Experience with Agile delivery, including Scrum or SAFe, and cross-functional teams
Cloud Certifications such as AWS, Azure, or Google Cloud Certification
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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.