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Own and evolve a secure, cloud-native internal developer platform for a federal health mission. Responsibilities include Terraform and GitOps foundations, multi-tenant Kubernetes on AWS GovCloud, self-service onboarding, MLOps/AIOps, data lakehouse enablement, observability, security automation, compliance artifacts, documentation, and stakeholder partnership. The role requires senior ownership of production platforms and offers opportunities for technical leadership.

Build, evaluate, integrate, and operationalize machine learning, deep learning, and generative AI capabilities for federal mission applications. Responsibilities include developing models and datasets, creating AI services and interfaces, integrating APIs and pipelines, deploying scalable and reproducible solutions, documenting workflows, and improving capabilities through technical and user feedback. The role collaborates with software and data engineers, technical leaders, subject-matter experts, and mission users in a controlled government environment.

Build and deploy AI applications, agents, intelligent workflows, document-processing solutions, predictive analytics, and automation. The role spans AI use-case assessment, solution design, prototyping, evaluation, testing, production deployment, monitoring, governance, and responsible-AI controls. The engineer will integrate AI with enterprise systems, APIs, workflows, and data platforms while partnering with engineering, cybersecurity, governance, and mission teams in a federal environment.

Leads enterprise business intelligence and analytics solutions using Power BI and Microsoft Fabric. Designs semantic models, certified datasets, dashboards, DAX calculations, data transformations, security controls, and governed self-service analytics. Assesses and modernizes reporting portfolios, develops predictive and forecasting capabilities, gathers requirements, validates data quality, supports documentation and adoption, and mentors analysts. Collaborates with business, engineering, governance, and security stakeholders to establish scalable enterprise analytics standards.

Leads the design, development, administration, and optimization of enterprise data pipelines and Microsoft Fabric data platforms. Responsibilities include ETL/ELT architecture, medallion layers, data quality, CI/CD, infrastructure as code, security, hybrid connectivity, disaster recovery, performance optimization, and troubleshooting. The role also mentors engineers, establishes technical standards, supports architecture reviews, and provides senior-level guidance for secure, scalable, reliable data platform implementations.

Leads enterprise data governance for federal and DoD environments, developing standards, classification and access policies, quality thresholds, retention frameworks, metadata practices, steward networks, and governance workflows. Configures Microsoft Purview controls, validates RBAC through Microsoft Entra ID, supports Master Data Management, facilitates governance boards, and reports on governance maturity.

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.

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.