Jobs at Agile Defense, LLC

Provide Tier I-III support and administration for enterprise Unified Communications: maintain converged IP voice/video services (VoIP/SIP/SCCP/H.323), operate and troubleshoot Cisco collaboration stack, implement QoS and DISA STIG compliance, perform upgrades/patches, manage directories, run architecture reviews, and coordinate with DoD partners.

Technical lead for design, implementation, and sustainment of secure, scalable cloud-native platforms. Establish DevSecOps practices, build CI/CD pipelines, automate IaC with Terraform, standardize Kubernetes/Helm deployments, monitor platform reliability, troubleshoot complex issues, and mentor engineering teams while collaborating with government stakeholders.

Hands-on senior full stack engineer to design, code, review, and ship web front ends and backend APIs. Lead technical execution for a small team, define architecture and API contracts, integrate AI/LLM features (tool calling, prompt/control flow), support secure enterprise integrations, and mentor engineers through code review and pairing.

Lead Tier 2 SOC Analyst to manage end-to-end incident response, investigate and prioritize incidents, maintain playbooks, perform forensics, ingest threat intelligence, mentor analysts, and improve CSIRC capabilities using SIEM and ELK stack.

Manage Specialized Test Laboratory scheduling and resources for T&E activities: maintain test schedules and TDR spreadsheets, track test status, coordinate meetings, handle purchasing/receiving and property accountability, and provide office management support. On-site at Fort Huachuca; requires active Secret clearance.

Provide on-site operation, maintenance, integration, and cybersecurity support for the Army enterprise network (SIPRNET/NIPRNET). Monitor, secure, and troubleshoot PIT, control systems, and critical infrastructure to ensure availability and readiness across strategic and tactical environments. Collaborate with cross-functional teams to implement security measures and support joint, combined-arms operations.

Senior technical integrator who leads QA/QC and harmonizes Test & Evaluation across national security programs. Mentors teams on test plans, data collection, and analysis, evaluates secure communications and cryptographic integration, and delivers executive operational assessments to inform deployment decisions.

Design, build, and deploy scalable AI-enabled data pipelines and ML services in secure, containerized environments for DoD CDAO ADA IR. Implement feature engineering, preprocessing, model training-to-deployment, and collaborate with product, platform, and mission stakeholders within an agile, test-driven workflow.

Design, build, and deploy scalable, secure data pipelines and ML-enabled analytics for DoD mission environments. Implement preprocessing, feature engineering, model training/deployment, and visualization within containerized, SCIF-hosted platforms while collaborating with product, platform, and mission teams.

Design, build, and deploy scalable AI-enabled data pipelines and ML services in secure, containerized environments for DoD CDAO programs, collaborating across product, platform, and mission teams to enable decision-support and reproducible workflows.

Design, build, and deploy scalable, AI-enabled data pipelines and ML services for DoD CDAO. Perform preprocessing, feature engineering, model training/deployment, and collaborate with product, platform, and mission teams in secure, containerized, SCIF environments.

Design, develop, and deploy scalable AI-enabled data pipelines and preprocessing workflows in secure, containerized environments. Perform feature engineering, model development and deployment, collaborate with product and platform teams, and create visualizations and storytelling using Palantir tools to support DoD decision‑support systems.

Lead offensive threat emulation and full-killchain penetration testing for a federal agency. Develop exploits, benign malware, and custom scripts (Python/Rust/PowerShell), analyze SIEM/IDS/endpoint telemetry, emulate APT TTPs, generate threat intelligence indicators, produce ODNI-formatted reports, brief leadership, and recommend defensive countermeasures. Mentor analysts and research emerging threats and tools.

Apply MBSE and interdisciplinary systems engineering to define, analyze, design, verify, and integrate complex systems. Lead requirements management, trade studies, risk assessments, verification/validation, and system-level analyses for affordability, reliability, safety, maintainability, cybersecurity, and mission assurance. Develop software system requirements and support OFP/SIL testing and software configuration management.

Design, build, and deploy secure, scalable data pipelines and ML services for DoD Combatant Command missions. Work with cross-functional teams to preprocess data, engineer features, validate models, and operationalize analytics in containerized and cloud environments, emphasizing reproducibility, testing, and technical communication.

Develop, maintain, and validate Department of the Navy Business Enterprise Architecture using MBSE and DoDAF/DON BEA standards. Produce required architecture artifacts, ensure traceability between capabilities, activities, systems, and data, validate system mappings, identify gaps and risks, integrate data from authoritative sources, and support governance assessments and submissions.

Lead planning and execution of cyber survivability test & evaluation events (CVPAs, AAs), design tests, analyze findings, manage cyber assessment documentation, coordinate Red/Blue teams, oversee vulnerability and penetration testing, author and present cyber survivability reports, and integrate survivability requirements across the T&E lifecycle for defense information systems.

Lead design, build, and maintenance of scalable ETL/ELT and real-time streaming pipelines (Kafka/Flink/Spark Streaming). Collaborate with data scientists and stakeholders, ensure data quality and monitoring, optimize performance, oversee schema and data modeling, and mentor junior data engineers to support SOF analytics and AI initiatives.

Lead design, development, and deployment of complex machine learning models and advanced analytics. Build predictive models, perform EDA on structured and unstructured data, develop algorithms (classification, regression, clustering, NLP, recommendation), and ensure feature engineering, hyperparameter tuning, and model validation. Collaborate with data engineering and product teams, communicate findings to stakeholders, mentor junior data scientists, and support deployment and data pipeline quality.

Provide system administration, O&M, and Tier 2 technical support for Trusted Thin Client (TTC) servers and clients supporting USAFCENT CAOC. Install, configure, manage, monitor, troubleshoot physical and virtual servers, user accounts, logs, and security tools (ACAS, HBSS). Support cross-domain solutions, develop integration "glue-ware", recommend upgrades, and maintain system documentation and connectivity diagrams.