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Develop and evaluate cloud security architectures for Intelligence Community systems. Assess security documentation, compliance, risk thresholds, software assurance, and RMF requirements across on-premises, cloud, and hybrid environments. Support validation, assessment, accreditation, and troubleshooting activities; recommend security tools and capabilities; and collaborate with clients and technical teams in an Agile environment.

Develops algorithms, predictive analytics, automated workflows, and supervised and unsupervised machine learning models for federal health organizations. Analyzes complex structured and unstructured data, communicates findings to customers and nontechnical stakeholders, briefs military leaders, mentors teammates, and supports operational requirements. The role requires Python development, a TS/SCI clearance, travel within the continental U.S. up to 25%, and possible international deployments of up to 90 days.

Analyzes software code and integrates security practices throughout the software development lifecycle. Develops software and scripts, performs testing, documents defects and security findings, reviews design documents and requirements, and applies secure development standards. The role uses static and dynamic assessment tools, supports DevSecOps and compliance processes, and may guide junior employees. A Secret clearance and high school diploma or GED are required.

Designs and develops secure systems and architectures for U.S. Navy missions. Responsibilities include analyzing engineering and security requirements, hardening systems, reducing attack surfaces, applying secure coding and operating-system security practices, evaluating architectures against adversary threats, and implementing cybersecurity countermeasures across system lifecycles.

Develop end-to-end software and systems from design through production using Agile methods. Build web applications with Python, Java, or C#, HTML, JavaScript, and modern frameworks; deploy using Docker and AWS; troubleshoot and improve code; evaluate architecture and plan future enhancements. The role also involves object-oriented design, database development, and collaboration to address complex client challenges.

Engineer cybersecurity architecture, implementation, hardening, monitoring, and compliance for DoD and military systems. Guide clients through RMF, IATO, IATT, and ATO processes; conduct vulnerability scanning, remediation, security control assessments, and STIG compliance activities. Coordinate with ISSMs, enforce DoD cybersecurity policies, and maintain acceptable security postures. Support hybrid AI/ML networks and develop solutions using security engineering practices, with potential application of DevSecOps, cloud, Agile, and Linux expertise.

Leads software development for mission-focused cyber and defense capabilities. Guides development teams, mentors engineers, conducts code reviews, integrates databases and data-transfer protocols, implements architectural and system improvements, and builds scalable, automated digital solutions. The role requires advanced programming experience, database integration skills, and the ability to obtain a TS/SCI clearance.

Design, build, and deploy secure production AI applications using LLMs, RAG, agentic workflows, external tools, and enterprise data. Develop reusable orchestration, retrieval, evaluation, and observability components; create data pipelines; optimize reliability, cost, latency, and scalability; and deploy cloud-native services on AWS. Collaborate with multidisciplinary teams and clients to prototype, evaluate, and transition mission-critical AI solutions into production.

Manage and provision AWS cloud infrastructure, including EC2 instances, networks, and storage. Develop Infrastructure as Code, Configuration as Code, and CI/CD pipelines. Automate deployments using Bash, Python, or PowerShell, and operate containerized applications with Docker, Podman, and Kubernetes. Apply AWS networking, security, monitoring, and logging best practices while supporting cloud modernization efforts and resolving infrastructure issues. A Secret clearance and bachelor's degree are required.

Design, build, and maintain cloud-native AWS data platforms and scalable data lake/warehouse solutions. Develop and deploy data pipelines for structured and unstructured data to support AI/ML and BI, lead cross-functional teams, and manage cloud migration and modernization efforts. TS/SCI with polygraph and a CS bachelors degree required.