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Operationalize and productionize machine learning and statistical algorithms: build data pipelines, deploy and monitor production systems, containerize and orchestrate services, collaborate with researchers and customers, and implement software standards to ensure robust, reliable operational analytics for national security use cases.

Lead DevOps engineering for mission-focused software teams: design, build, and maintain infrastructure and CI/CD pipelines across unclassified and classified environments. Manage cloud and Kubernetes deployments, ensure DoD compliance with corporate IT, implement monitoring/alerting, and coach teams on DevOps best practices. Support hybrid work with regular on-site access to government facilities.

Lead DevOps engineer responsible for designing, developing, and maintaining infrastructure and tooling to deploy software into operational (including classified) environments. Build and manage CI/CD pipelines, cloud and container platforms, Kubernetes clusters, security monitoring, and liaise with corporate IT. Coach teams on DevOps best practices and support deployments requiring on-site access to government or company facilities.

Lead multiple defense R&D programs, manage schedule/budget/risk, coordinate cross-functional teams and subcontractors, support proposals and capture, ensure delivery of operational prototypes and demonstrations.

Lead design, develop, integrate, test, and demonstrate autonomy algorithms and backend software for uncrewed systems. Provide technical leadership, mentor engineers, drive architecture and engineering best practices, and collaborate with research scientists and customers across the software lifecycle.

Lead design, develop, integrate, test, and demonstrate autonomy and multi-agent algorithms and backend software for unmanned systems. Provide technical leadership, mentor engineers, drive software architecture and best practices, and support DevSecOps/CI-CD pipelines from prototype to deployed system.

Design, develop, implement, integrate, test, and demonstrate autonomy algorithms and backend software for unmanned platforms. Provide technical leadership and mentoring, transition research algorithms into production code, support system and system-of-systems architecture, and maintain DevSecOps/CI/CD practices, testing, and code quality across the software lifecycle.

Lead design, implementation, integration, testing, and demonstration of autonomy algorithms and software for unmanned systems. Provide technical leadership and mentoring across the software lifecycle, focusing on backend algorithmic development, system and SoS architecture, DevSecOps/CI-CD pipelines, and transitioning research algorithms into production-quality code.

Design, implement, test, and integrate autonomy and multi-agent algorithms for unmanned systems. Provide technical leadership, transition research into production software, support system and SoS architecture, and maintain DevSecOps/CI/CD-backed backend algorithmic services.

As a Senior Software Engineer, you will develop and validate real-time sensor software, integrate algorithms, and perform rigorous testing in a collaborative environment.