Chief Systems Architect
3 weeks ago
About the Role
Leidos is seeking a highly skilled Chief Systems Architect to lead the planning and development of overall systems architectures for a complex, large-scale intelligence program. As a key member of our team, you will drive and perform analysis of alternatives to ensure the Government properly architects business and mission solutions using optimum systems and services.
Key Responsibilities
- Lead the architecture and design of scalable, high-performance exploitation capabilities within the IC
- 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
Requirements
- Currently possess an active TS/SCI clearance with the ability to obtain a Poly
- Bachelor's degree in Computer Science, Data Science, Engineering or related field and 8 to 12 years of prior relevant experience or Masters with 6 to 10 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
- In-depth knowledge of system architecture, design patterns, and best practices
- Proficiency in cloud computing, distributed systems, and microservices architecture
- 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, R, 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
- 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
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 SpringBoot and Java microservices
- Experience with REACT for web user interfaces and Django/Python for backend services
- Strong understanding of UI/UX and full-stack development
- 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
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