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Design, develop, and secure container platforms and CI/CD pipelines on AWS. Build and manage Kubernetes deployments, Helm-managed tools, and infrastructure-as-code. Support production applications, evaluate container security, and inform platform strategy while meeting client standards and obtaining required certifications and clearance.

Design, build, and secure container platforms and orchestration solutions for clients. Lead platform architecture, implement IaC and CI/CD, manage Helm/ArgoCD deployments, automate infrastructure, and address container networking, monitoring, storage, and security in production environments while informing strategy and standards.

Work with clients to analyze large, structured and unstructured data sets, design and test AI/ML models, mentor teammates, and deliver actionable insights to leadership, primarily supporting DoW/IC customers.

Design and deploy ML models, ETL pipelines, and analytics workflows on platforms like Databricks, Snowflake, or Palantir Foundry. Work client-facing to perform data wrangling, visualization (Tableau/Power BI), and present insights, bridging AI capabilities with military and operational mission needs in high-pressure environments.

The DevOps Engineer will streamline software development, automate CI/CD pipelines, manage infrastructure, and collaborate with development teams to improve tool efficiency.

As a Senior Graphic Designer, you will create visual materials that support client missions, ensuring compliance with accessibility standards and maintaining brand identity while managing multiple projects in a fast-paced environment.

As a Senior AWS Cloud Engineer, you will design, implement, and optimize AWS cloud environments, develop cloud architectures, ensure security compliance, and mentor junior engineers. You'll use AWS core services and scripting to enhance automated workflows and operational efficiency.

Build and maintain secure CI/CD pipelines and infrastructure for C/C++/C# applications using IaC and containerization. Integrate builds, automated tests, and security scans, manage artifacts and reproducible builds across environments, and collaborate to implement platform and system improvements.

Design, train, test, deploy, monitor, and maintain ML models (including LLMs/generative AI) for national security missions. Collaborate with data engineers, software developers, data scientists, and stakeholders to apply ML algorithms, triage large datasets, and deliver production-safe, mission-critical AI/ML solutions.

Lead reverse engineering and vulnerability analysis across full CNO capability development life cycles. Guide an Agile team to design, develop, test, validate, and deploy complex Windows/UNIX and embedded software solutions, leveraging AI/ML to inform operational parameters while supporting national security missions.