DevSecOps Engineer, Senior

The Opportunity:
We are seeking a DevSecOps Engineer to support the secure development integration deployment and maintenance of AI-enabled applications and services to support the United States Secret Service (USSS) contract supporting the Department of Homeland Security. The engineer will embed security practices throughout the software development lifecycle and help the team deliver repeatable automated deployment processes for cloud-based AI solutions.

Working with AI engineers software developers cybersecurity cloud and operations teams the DevSecOps Engineer will build and maintain CI/CD pipelines automate security testing and implement secure infrastructure and deployment patterns. The role will help ensure that application code cloud resources containers APIs and AI-related data flows meet enterprise security requirements while enabling the team to deliver updates efficiently.

Hybrid work schedule 2-3 days on site.

Responsibilities:
Build maintain and improve CI/CD pipelines for AI and software applications.
Integrate security checks into development and deployment workflows including code dependency container and infrastructure scanning.
Automate infrastructure provisioning and configuration using infrastructure as code.
Implement secure deployment patterns for cloud-hosted applications APIs containers and AI services.
Apply security controls for identity and access management secrets encryption network boundaries and least-privilege access.
Work with AI engineers to protect prompts model endpoints retrieval pipelines training or reference data and connected tools from unauthorized access or exposure.
Support containerization and orchestration using technologies such as Docker and Kubernetes where applicable.
Establish and maintain artifact management configuration management release controls and deployment documentation.
Identify vulnerabilities and misconfigurations; coordinate remediation with engineering and cybersecurity teams.
Support security assessments authorization activities audits and compliance evidence collection.
Monitor pipeline and deployment issues troubleshoot failures and improve automation and developer workflows.
Document DevSecOps processes security controls pipeline configurations and operational procedures.
Contribute reusable components technical documentation and engineering practices that improve consistency and maintainability.

Qualifications:
Required:
Bachelors degree 7 years of experience in artificial intelligence machine learning software engineering or related field; equivalencies considered (Masters 7 years; 16 years with no degree; AA 12 years)
Ability to obtain Public Trust clearance.
At least five years of experience in DevSecOps cloud engineering software development cybersecurity engineering or a related field.
Demonstrated experience building or maintaining CI/CD pipelines and automating software build test and deployment processes.
Experience with infrastructure as code such as Terraform Bicep or CloudFormation.
Experience with cloud security controls including identity and access management secrets management encryption and network security.
Experience integrating automated security testing into software delivery workflows including vulnerability dependency and container scanning.
Experience with source control and pipeline platforms such as GitHub Actions Azure DevOps or GitLab CI/CD.
Familiarity with containers and container security including Docker and Kubernetes.
Understanding of secure software development practices and common application security risks.
Ability to collaborate with developers cybersecurity staff cloud teams and technical stakeholders to resolve security and deployment issues.

Desired:
Experience supporting AI machine learning or generative AI applications in a cloud environment.
Experience securing Azure services including Azure OpenAI or other Azure AI services.
Experience with Terraform and reusable infrastructure modules for cloud environments.
Familiarity with FedRAMP FISMA NIST security controls or federal authorization processes.
Experience generating compliance evidence and automating security control assessments.
Experience with policy as code configuration compliance and automated cloud security posture management.
Experience securing APIs model endpoints data pipelines and integrations with enterprise systems.
Relevant cloud cybersecurity or DevSecOps certifications.

What You Can Expect:

A culture of integrity.

At CACI we place character and innovation at the center of everything we do. As a valued team member youll be part of a high-performing group dedicated to our customers missions and driven by a higher purpose to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. Youll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together we will advance our nations most critical missions build on our lengthy track record of business success and find opportunities to break new ground in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including but not limited to geographic location Federal Government contract labor categories and contract wage rates relevant prior work experience specific skills and competencies education and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI you will receive comprehensive benefits such as; healthcare wellness financial retirement family support continuing education and time off benefits.

The proposed salary range for this position is: