Principal Systems Engineer - Digital Engineering & Advanced Tools

What You’ll Do

We are seeking an experienced and innovative Principal Systems Engineer – Digital Engineering & Advanced Technologies to lead the development and implementation of next-generation digital capabilities across cloud platforms, software systems, data architectures, analytics environments, and automation frameworks. This position serves as a technical leader responsible for advancing digital transformation initiatives through the application of cloud technologies, artificial intelligence (AI), machine learning (ML), advanced analytics, software integration, API-driven architectures, and enterprise automation solutions.

• Work across engineering, software development, operations, and business teams to architect and deliver scalable, secure, and data-driven solutions that improve operational effectiveness, enhance decision-making, and accelerate mission outcomes.
• Lead the systems engineering, architecture, and integration of digital engineering and technology modernization initiatives.
• Develop and implement solutions leveraging AI, machine learning, predictive analytics, and automation technologies to improve operational performance and business outcomes.
• Define and manage system architectures, technical roadmaps, requirements, interfaces, and integration strategies for enterprise software and data platforms.
• Design and oversee API-based integrations between internal and external systems, applications, and services.
• Collaborate with software engineering teams to ensure system requirements, architecture, and technical solutions are aligned with business objectives.
• Support the development and deployment of cloud-native applications and microservices-based architectures.
• Lead digital engineering initiatives that improve engineering efficiency, data accessibility, traceability, and decision-making across the enterprise.
• Develop enterprise data architecture strategies that enable effective data governance, analytics, automation, and interoperability across business and operational systems.
• Establish data management, analytics, and reporting frameworks that enable actionable insights and operational visibility.
• Evaluate emerging technologies and recommend innovative solutions to enhance digital capabilities.
• Develop technical documentation, system designs, interface specifications, and engineering artifacts throughout the system lifecycle.
• Provide technical leadership, mentorship, and guidance to multidisciplinary engineering teams.
• Support customer engagements, technical presentations, business development activities, and strategic planning efforts as a subject matter expert.

Who You Are

• A systems engineering leader who understands that the future of engineering lies at the intersection of software, cloud technologies, enterprise data, automation, and artificial intelligence.
• Thrives on solving complex, multidisciplinary challenges by connecting engineering principles with modern digital capabilities that improve mission execution and business performance.
• Equally comfortable defining enterprise architectures, mentoring technical teams, engaging customers, and influencing strategic technology decisions.
• Your ability to bridge systems engineering with software development, cloud platforms, and digital engineering practices enables you to deliver practical, scalable solutions that create measurable operational value.
• Driven by innovation, continuous learning, and the opportunity to shape how next-generation technologies are adopted across the organization.
• Bachelor’s degree in Systems Engineering, Computer Science, Software Engineering, Electrical Engineering, Information Technology, Data Science, or a related technical discipline.
• 10+ years of experience in systems engineering, digital engineering, software integration, cloud architecture, data analytics, or related technical fields.
• Demonstrated experience designing and implementing cloud-based solutions within commercial, government, or defense environments.
• Strong understanding of software development methodologies, system architectures, and enterprise integration patterns.
• Experience developing, integrating, or managing RESTful APIs, web services, and software interfaces.
• Experience with data analytics platforms, visualization tools, automation technologies, and enterprise data environments.
• Knowledge of AI, machine learning, advanced analytics, and their practical application to operational and business challenges.
• Experience leading complex technical efforts involving multiple stakeholders and engineering disciplines.
• Strong written and verbal communication skills with the ability to communicate complex technical concepts to technical and non-technical audiences.
• Ability to lead cross-functional technical teams and drive engineering efforts from concept through implementation.
• Experience with AWS, Microsoft Azure, or Google Cloud Platform preferred.
• Experience implementing Digital Engineering strategies, tools, and processes within large-scale engineering or operational environments preferred.
• Familiarity with Model-Based Systems Engineering (MBSE) methodologies and tools preferred.
• Experience with enterprise data architectures, data lakes, data warehouses, and large-scale analytics environments preferred.
• Familiarity with digital thread and digital engineering ecosystem concepts preferred.
• Experience with DevSecOps, CI/CD pipelines, containerization, and orchestration technologies preferred.
• Knowledge of robotic process automation (RPA) and workflow automation platforms preferred.
• Experience supporting defense, aerospace, telecommunications, or satellite communications programs preferred.
• Understanding of satellite communications architectures, network management systems, ground segment operations, or space mission operations preferred.
• Advanced degree in Engineering, Computer Science, Data Science, or a related technical discipline preferred.
• Relevant industry certifications in cloud computing, systems engineering, AI/ML, software architecture, cybersecurity, or data engineering preferred.