Chief Systems Architect SME TSSCI

At Leidos we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers success. We empower our teams contribute to our communities and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers our people and our community. Our Mission Vision and Values guide the way we do business. Further our employees enjoy career enrichment opportunities available through mobility and development while experiencing rewarding relationships with supportive supervisors and talented colleagues and customers. Your most important work is ahead.

If this sounds like the kind of environment where you can thrive then keep reading. Leidos is seeking a Chief Systems Architect for a complex largescale intelligence program. In this role you will lead and oversee the planning and development of overall systems architectures drive and perform analysis of alternatives to ensure the Government properly architects business and mission solutions using optimum systems and services. Our customer provides strategic intelligence warfighter support indications and warning safety of navigation foundation data humanitarian and disaster relief special event planning and homeland defense.

Our Chief Systems Architect is a leader of cultural and technology change. The system architectures require cloud strategies and driving adoption of cloudbased solution; methodologies for building and operating highly available scalable services; emphasis on continual process improvement through automation and introduction of resilient and selfhealing applications and workflows. Product line documentation and baseline management are also core to the responsibilities of this leadership role.

We are seeking a servant leader who has the technical depth and interpersonal communication skills necessary to inspire lead direct and develop sound/resilient architectural solutions for this complex program while interfacing and building relationships with senior customer and leidos internal leadership alike.

Primary Responsibilities:

• Lead the architecture and design of scalable highperformance 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 highquality system delivery

• Maintain and forwardlooking 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

Basic Qualifications:

• Requires Bachelors 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 largescale environment

• Must have an active TS/SCI with ability to obtain a polygraph to be considered for this position

• Indepth 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 fullstack development

• Strong understanding of security compliance and data privacy standards

• Excellent problemsolving 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 crossfunctional 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 fastpaced dynamic work environment.

• Enthusiasm for learning and adapting to new technologies and methodologies

Preferred Qualifications:

• Masters 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

• Agilebased 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

Original Posting:

For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.