DevSecOps Engineer supporting secure, mission-critical platforms in a federal environment. Collaborates with developers and government stakeholders to deliver secure application capabilities.
Responsibilities
Work in an agile environment as part of a small, integrated design and development team, participating in agile ceremonies and directly supporting government customers.
Continuously improve client infrastructure and platform capabilities to support developers, data scientists, and AI-enabled workflows.
Support development teams in deploying, maintaining, and troubleshooting web applications and AI-enabled services in a secure environment progressing from IL2 to IL4+.
Design, deploy, and maintain CI/CD pipelines that support application delivery, experimentation, and secure software supply chains.
Serve as a subject matter expert in containerization and DevSecOps, providing guidance on secure deployment patterns, platform services, and automation best practices.
Automate provisioning of virtual machines and container platforms, enabling consistent, repeatable environments for development, testing, and deployment.
Enable secure access to cloud services and internal capabilities via custom APIs, including token-based access controls and service-to-service authentication.
Support secure experimentation environments, including notebooks and web-based IDEs (e.g., VS Code), while enforcing security and access controls.
Implement and maintain secure package management, artifact repositories, and controlled dependency update processes.
Support secure data transfer and access to segmented, secured environments, integrating SSO and role-based access controls across platform services.
Monitor application and infrastructure health, performance, and availability using enterprise observability tools.
Requirements
Bachelor’s degree in a technical discipline (required).
Active Secret security clearance (required).
4+ years of experience in DevSecOps or DevOps roles supporting production systems.
Strong experience developing and supporting server-side web applications and backend services.
Experience integrating applications with custom APIs to dynamically consume data, services, and AI-enabled capabilities.
Hands-on experience deploying and operating containerized applications in secure or regulated environments.
Experience with Kubernetes-based deployment patterns, including scaling, resilience, and secure configuration.
Proficiency with CI/CD and automation tools such as GitLab CI, including pipeline optimization and security scanning.
Experience managing, storing, and updating artifacts using secure artifact repositories.
Experience deploying and operating services in AWS, including secure networking, IAM, and access controls.
Familiarity with monitoring and observability platforms such as Datadog or Elastic Cloud.
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