Experience designing, deploying, and maintaining cloud-native applications and infrastructure using Kubernetes, Docker, and CI/CD platforms such as Jenkins, GitHub Actions, or GitLab
Experience developing, managing, hardening, and securing containerized workloads, including container image security, vulnerability scanning, secrets management, and runtime security
Experience deploying and supporting enterprise software solutions in customer-managed, self-hosted, or on-premises environments, including configuring infrastructure dependencies, managing system integrations, and troubleshooting environment-specific issues
Experience implementing DevSecOps security controls and automated compliance checks throughout the software delivery lifecycle, including policy enforcement, vulnerability management, and audit evidence collection
Experience deploying and operationalizing AI-enabled applications in enterprise environments, including managing application dependencies, securing model and data access, and supporting reliable, repeatable deployments
Experience collaborating with customer infrastructure, security, and platform engineering teams to resolve deployment issues, meet security requirements, and support successful production adoption
Secret clearance
Bachelor's degree
Nice If You Have
Experience with cloud providers, such as AWS or Microsoft Azure
Experience integrating AI-driven capabilities into compliance, governance, risk management, or security workflows, including automated control validation, evidence collection, policy mapping, and compliance reporting
Experience deploying and maintaining AI-powered solutions in self-hosted, on-premises, or customer-managed environments, including environments with restricted network connectivity or air-gapped infrastructure
Experience operationalizing AI applications in production, including health monitoring, logging, observability, performance troubleshooting, dependency management, and deployment lifecycle management
Experience deploying Kubernetes-based applications using Helm or similar packaging and orchestration tools, including assisting with managing private container registries, persistent storage, network policies, and cluster-level security controls
Experience working directly with customer security, infrastructure, and platform engineering teams to validate deployment architectures, resolve environment-specific issues, and meet enterprise security and compliance requirements
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $77,600.00 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.
