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Design, administer, secure, scale, and troubleshoot GitLab CI/CD pipelines and GitLab Runners across Linux and containerized environments. Configure DevSecOps tools to meet cybersecurity technical controls and authorization requirements, support Kubernetes-based applications, and resolve pipeline issues for software product teams. Preferred experience includes DoD cloud infrastructure, classified networks, the NAVSEA ASAP process, and administration of SonarQube, Anchore, and Artifactory.

Build backend services, APIs, data workflows, AI-enabled applications, coding agents, and secure DevSecOps pipelines for government and defense customers. Establish controlled AI development environments, automated quality and security testing, compliance evidence, software supply-chain protections, and Platform One-compatible deployment workflows. Modernize legacy applications and collaborate with software, platform, cybersecurity, and mission teams to transition R&D prototypes into secure operational capabilities.

Manage and maintain multi-cloud VDI environments and 10ZiG thin-client endpoints. Configure Azure Virtual Desktop, AWS WorkSpaces, and Horizon; build desktop images, profiles, applications, host pools, and scaling configurations. Test performance, apply DISA STIGs, support security compliance and ATO/CTO activities, and create technical documentation. The role requires onsite work at NASIC and an active TS/SCI clearance.

Lead the design and development of mission-relevant software, build backend services and APIs, mentor engineers, and support technical demos.

As a Computer Science Intern, you will assist in software development, conduct research, troubleshoot issues, and collaborate with teams on projects.

Design, build, test, and deploy secure mission-planning software. Maintain secure CI/CD, containerized deployments, automated testing, and security-scanning workflows. Integrate AI capabilities, investigate vulnerabilities, support remediation, produce technical design documentation, and collaborate with stakeholders and customer leads.

Develop secure, data-rich frontend features using React and TypeScript for a DoD mission-planning platform. Integrate UIs with backend APIs, support map-based and AI-enabled decision-support workflows, write unit/integration tests, participate in code reviews and security remediation, and collaborate with cross-functional teams with periodic onsite sprint planning in Laurel, MD.

Integrate LLMs, RAG, and agentic-AI into secure decision-support software. Design prompts and inference workflows, connect AI to backend services, evaluate outputs, build tests, document designs, and collaborate with engineering, security, and DevSecOps teams to deliver reliable mission-capable AI features.

Build, test, and integrate secure backend services and APIs for DoD mission-planning. Work on REST and gRPC services, asynchronous workflows, geospatial databases, containerized deployments, CI/CD, automated tests, and vulnerability remediation while collaborating with AI/ML, frontend, and cybersecurity teams.

Operate and secure mission-critical cloud environments: monitor availability and security, resolve Tier 1-3 incidents, provision tenant AWS resources, administer Linux/Windows/AD, manage containers and Kubernetes, automate infrastructure with Bash/Ansible/Terraform, support DevSecOps pipelines, troubleshoot network/platform issues, and maintain operational documentation. Requires occasional weekend/holiday coverage.