Armada - Senior Customer Engineer, Federal

• U.S. citizenship and eligibility for a Secret or higher security clearance. • Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree is a plus. • 5+ years proven experience in a pre-sales, sales engineering, or solution architecture role supporting technical products. • Conceptual understanding of networking and connectivity fundamentals, including IP addressing, firewalls, SD-WAN, and satellite or cellular-based communication systems (e.g., Starlink, LTE/5G). • Familiarity with cloud platforms, virtualization or containerization technologies, and modern enterprise infrastructure. • Proficiency in at least one core technical domain such as AI/ML infrastructure, connected devices, or data center systems (see Technical Focus Areas below). • Working knowledge of cloud platforms, modern networking concepts, and containerization or virtualization technologies. • Excellent communication and presentation skills, with the ability to engage and influence both technical and non-technical audiences. • Strong problem-solving mindset with the ability to navigate ambiguity and drive clarity. • Self-starter who thrives in dynamic environments and effectively manages multiple priorities. • Must be willing and able to travel, including potential international travel, as business needs dictate. • Prior experience with MEDDPICC, Challenger Sale, Command of the Message etc.; and managing to a sales process. • Demonstrable expertise in one or more Technical Focus Areas: • AI & Edge AI Solution Architecture - This specialty emphasizes expertise in scoping, qualifying, and shaping AI-powered solutions. AI development fundamentals—such as training data quality, data granularity, resolution, variability, and event detection use cases—and how these factors impact model confidence, false positives, and deployment feasibility. Defining inputs (e.g., cameras, sensors) and estimating compute requirements. Familiarity with AI frameworks (e.g., TensorFlow, PyTorch, ONNX) and the broader AI/ML lifecycle is essential, along with a strong grasp of practical AI applications. • Modular Data Center Systems & Rack Solutions Architecture – This specialty requires strong systems integration skills and the ability to translate customer requirements into reliable, scalable infrastructure solutions.  Design and integrate compute, storage, and networking systems within modular or micro data center environments; expertise in hybrid cloud and distributed computing (e.g., Azure Stack Edge); and experience with virtualization and containerization platforms (e.g., VMware, Docker, Kubernetes). • Asset Management Systems & Integration Architecture:  This specialty emphasizes expertise in connected device ecosystems, remote field deployments, and real-time asset telemetry. Integration of remote field assets such as IoT sensors and camera systems; understand connectivity and deployment challenges in remote environments; and communication networks including Starlink, cellular/5G, and SD-WAN solutions (e.g. Cradlepoint, Peplink). Hands-on experience integrating devices and/or telemetry protocols such as RESTful APIs, WebSockets, and SNMP. • For select roles, due to the nature of our clientele and the technologies involved, there may be specific nationality or citizenship indicated in the required qualifications section. These roles may involve access to sensitive information that is subject to export control regulations or other legal restrictions. In such cases, employment offers will be contingent upon your ability to comply with these requirements.