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An Hour AgoSaved
Remote
USA
Junior
Junior
Artificial Intelligence • Cloud • Machine Learning
Manage high-volume account provisioning and application access for Military Health System users. Responsibilities include processing standard and complex access requests, performing identity and prerequisite checks, mapping roles, routing approvals, creating and modifying accounts, authorizing training access, validating requests, maintaining role matrices, tracking timelines, preparing Government review documentation, and identifying opportunities for authorized provisioning automation.
Top Skills: Identity And Access Management (Iam)JomisMhs GenesisServicenow
An Hour AgoSaved
Remote
USA
Mid level
Mid level
Artificial Intelligence • Cloud • Machine Learning
Develops and executes communications supporting clinical system changes, including release updates, downtime notifications, urgent announcements, portal content, and user surveys. Manages SharePoint, MED365, and Microsoft Teams channels while creating targeted campaigns and analyzing user satisfaction and engagement. Ensures communications are timely, clinically accurate, compliant, and aligned with customer release schedules.
Top Skills: Med365Microsoft TeamsSharepoint
Junior
Artificial Intelligence • Cloud • Machine Learning
Manage end-to-end account provisioning for MHS GENESIS Theater users, including reviewing access requests, validating role assignments and training prerequisites, creating accounts, confirming access, tracking approvals and outages, escalating issues, and notifying users. The role supports DoD medical IT operations and requires ServiceNow experience, MHS GENESIS role knowledge, and an active Secret clearance.
Top Skills: Identity And Access Management (Iam)Mhs GenesisRole-Based Access Control (Rbac)Servicenow
2 Days AgoSaved
Remote
United States
Senior level
Senior level
Artificial Intelligence • Cloud • Machine Learning
Lead solutions architecture for secure ServiceNow integrations with enterprise, clinical, and operational systems. Design APIs, Integration Hub spokes, mobile and disconnected-operation patterns, synchronization, and data reconciliation. Establish engineering standards, guide integration engineers, review releases, resolve technical dependencies, and represent the team in customer, architecture, and security reviews. The role requires extensive solutions architecture experience, ServiceNow certifications, DoD 8140 compliance, and an active Secret clearance.
Top Skills: Api IntegrationDod Impact Level 5 (Il5)FhirHl7Platform OneServicenowServicenow Integration Hub
Reposted 17 Days AgoSaved
Remote
USA
Senior level
Senior level
Artificial Intelligence • Cloud • Machine Learning
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.
Top Skills: AiopsAirflowAmazon AthenaAmazon BedrockAmazon EcrAmazon S3Amazon SagemakerArgocdAws AlbAws EksAws GlueAws IamBashCert-ManagerDagsterDbtFluxGatekeeperGateway ApiGitlab CiGitopsGoGrafanaIcebergIrsaJenkinsKarpenterKedaKserveKubecostKubeflowKubernetesKyvernoLokiMlflowMlopsOpaPrometheusPythonRaySeldonSparkTerraformTrinoTriton
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Reposted 27 Days AgoSaved
Remote
USA
Entry level
Entry level
Artificial Intelligence • Cloud • Machine Learning
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.
Top Skills: APIsArgo CdAutomated TestingAWSAzureBig BangCatoCi/CdClaude CodeCmmcCodexDastDependency ScanningDevsecopsDisa StigsDockerFastapiGenerative AiGitGithub ActionsGitlab CiHelmInfrastructure-As-CodeIron BankKubernetesLangchainLanggraphLlamaindexLlmsNist Sp 800-53ObservabilityOpencodeParty BusPlatform OnePostgresPrefectPythonRmfSastSbomSecure ContainersSecurity ScanningTemporalTerraformVector DatabasesVirtual Machines
One Month AgoSaved
Remote
USA
Senior level
Senior level
Artificial Intelligence • Cloud • Machine Learning
Design, automate, secure, and operate Kubernetes platforms for a DoD environment. Responsibilities include infrastructure as code, GitOps and CI/CD, Kubernetes networking and RBAC, service mesh, cloud integrations, platform troubleshooting, and reliability improvements. Senior engineers also guide technical decisions and mentor others while remaining hands-on.
Top Skills: Admission ControllersAnsibleAws/EksAzure/AksCi/CdControllersCrdsGcp/GkeGitopsHelmIstioKubernetesKubernetes OperatorsLinuxOciRbacTerraform
One Month AgoSaved
In-Office
Dayton, OH, USA
Entry level
Entry level
Artificial Intelligence • Cloud • Machine Learning
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.
Top Skills: APIsAWSAzureDevsecopsDockerHugging FaceMicroservicesMlopsOllamaPythonPyTorchTensorFlow
2 Months AgoSaved
Hybrid
College Park, MD, USA
Senior level
Senior level
Artificial Intelligence • Cloud • Machine Learning
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.
Top Skills: AnchoreArtifactoryAws GovcloudGitlab Ci/CdGitlab RunnersGradleKubernetesLinuxMakeMavenNpmNugetPipSonarqubeTerraform
2 Months AgoSaved
In-Office
Dayton, OH, USA
Entry level
Entry level
Artificial Intelligence • Cloud • Machine Learning
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.
Top Skills: 10Zig ManagerActive DirectoryAWSAws WorkspacesAzure Virtual DesktopBashDisa StigsPowershellPythonVmware Horizon
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