Chief Systems Architect – SME – Ts/Sci

Chief Systems Architect – SME – Ts/Sci

Requirements

• Requires Bachelor’s Degree and 12 – 15 years of prior relevant experience or Masters Degree with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domain.
• 7+ years of experience in Systems Architecture or similar role in complex, large-scale environment
• Must have an active TS/SCI with ability to obtain a polygraph to be considered for this position
• In-depth knowledge of system architecture, design patterns, and best practices
• Proficiency in cloud computing, distributed systems, and microservices architecture
• Experience with SpringBoot and Java microservices
• Strong understanding of UI/UX and full-stack development
• Strong understanding of security, compliance, and data privacy standards
• Excellent problem-solving skills and ability to navigate and adapt to complex technical challenges
• Exceptional communication and presentation capabilities
• Proficiency in programming languages such as Python or Java
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with Agile DevSecOps practices and tools likes Jenkins, Docker, and Kubernetes
• Familiarity with machine learning and generative AI including tools and frameworks
• Possess effective communication and be able to collaborate with Customers, and cross-functional teams, document technical processes, and present solutions to stakeholders.
• Must be able to prioritize tasks effectively, manage deadlines, and handle multiple projects simultaneously.
• Excellent organizational skills and keen attention to detail, with the ability to multitask and prioritize effectively in a fast-paced, dynamic work environment.
• Enthusiasm for learning and adapting to new technologies and methodologies.

Responsibilities

• Lead the architecture and design of scalable, high-performance exploitation capabilities within the IC utilizing the latest in containerization, container orchestration, microservices, hybrid cloud technologies, machine learning, and generative AI
• Collaborate with stakeholders to define system requirements and translate them into architectural solutions
• Develop and implement architectural guidelines, standards, and best practices
• Oversee the integration of new technologies and systems into the existing and new infrastructure
• Ensure the security, scalability, and sustainability of all system architectures
• Mentor and guide technical teams, fostering innovation and excellence
• Evaluate and recommend tools, technologies, and processes to ensure high-quality system delivery
• Maintain and forward-looking perspective on industry trends and emerging technologies
• Participate in code reviews and provide constructive feedback to peers to maintain high coding standards
• Document model development processes, results, and best practices for knowledge sharing and reproducibility
• Assist in creating technical documentation and presentations to communicate findings and progress to stakeholders
• Ensure security best practices are integrated into the development lifecycle, including compliance with data protection regulations.

Preferred Qualifications

• Master’s Degree in computer science, Data Science, Engineering or related field and 10+ years of prior relevant experience.
• 10+ years in systems architecture with leadership roles
• Extremely strong understanding of scalable microservices architectures in a Kubernetes environment
• Experience with REACT for web user interfaces and Django/Python for backend services
• Completed certifications in system architecture, cloud, or network solutions (AWS, Cisco, IBM, VMware, etc.)
• Demonstrated ability to drive technological innovation within an organization
• Recognized expert technologist with 10+ year experience in mission software solutions related to data science, machine learning, or other similar technology
• Agile-based knowledge and skill, including experience with Scrum Ceremonies and work management tools (e.g., (JIRA, Confluence).
• Familiarity with AI/ML models to process and analyze large datasets
• Previous IC or DoD program/project work experience