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Redhorse logo

Chief Architect

Redhorse
Chantilly, VA
Full Time
Posted April 10, 2026
Power Generation
~18 people viewed this recently
Apply Now

Application opens on company website

Job Description

Now is a great time to join Redhorse Corporation.

Key Responsibilities

• Lead the overarching technical design and architecture, ensuring all solutions align with customer requirements and mission-critical objectives. • Provide strategic technical direction and integrate architectural best practices across all solution components. • Oversee the creation and maintenance of comprehensive technical documentation, including architecture diagrams, design specifications, and governance standards. • Design, develop, and document data collection capabilities and cloud-based services to enhance mission effectiveness. • Drive continuous innovation and optimization in the design and deployment of large-scale collection capabilities. • Evaluate and integrate emerging technologies—including AI, machine learning, and cloud computing—to improve the security and agility of operations. • Collaborate with program leadership and diverse stakeholders to translate mission needs into actionable technical requirements and architecture plans. • Foster a collaborative environment by providing mentorship, guidance, and professional development to engineering and development teams. • Conduct rigorous architectural reviews to ensure compliance with federal security standards and frameworks.

Requirements

• Professional-level architecture certification in AWS, Azure, or GCP. • Experience leading multi-disciplinary architecture teams within the Intelligence Community (IC) or Department of Defense (DoD). • Hands-on experience with containerization technologies such as Kubernetes and Docker. • Familiarity with microservices architecture and cloud-native design patterns. • Practical familiarity with DevSecOps practices, CI/CD pipelines, and Infrastructure-as-Code (IaC). • Experience designing and managing data engineering pipelines and large-scale data processing architectures. • A demonstrated commitment to building and supporting diverse technical teams through inclusive mentorship.

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