Base-2 Solutions is seeking a Systems Engineer 6 to apply senior systems engineering expertise across the full system life cycle, ensuring the technical integrity, quality, and completeness of work products and deliverables. This role supports AI-focused cloud and platform engineering efforts, with emphasis on AWS, AI/ML systems, security, and data lifecycle management.
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Apply systems engineering principles throughout the system life cycle phases of concept, development, production, utilization, support, and retirement.
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Interface with the Government regarding systems engineering technical considerations and associated problems, issues, or conflicts.
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Communicate with program personnel, government overseers, and senior executives.
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Maintain responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 ISO/IEC 15288 process areas.
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Support technical process areas including stakeholder requirements definition, requirements analysis, architectural design, implementation, integration, verification, transition, validation, operation, maintenance, and disposal.
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Support project process areas including project planning, project assessment and control, decision management, risk management, configuration management, information management, and measurement.
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Support enterprise process areas including project portfolio management, infrastructure management, lifecycle model management, human resource management, and quality management.
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Support agreement process areas including acquisition and supply.
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Active TS/SCI with Full Scope Polygraph.
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Experience in systems engineering sufficient to meet one of the stated education/experience pathways.
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Experience applying systems engineering principles across the full system life cycle.
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Ability to ensure technical integrity, quality, and completeness of systems engineering deliverables.
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Ability to communicate effectively with Government stakeholders, program personnel, and senior executives.
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Experience with cloud architecture, cloud engineering, or platform engineering, especially in AWS.
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Experience with AI/ML system design and implementation.
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High-level understanding of the AI lifecycle, including development, training, inference, and monitoring.
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Experience with ML pipeline development, model deployment, and DevOps/MLOps.
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Experience with system security and networking, particularly implementation of system security on classified systems.
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Experience with data engineering and data lifecycle management.
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Excellent communication and collaboration skills with varied stakeholder groups and the ability to proactively engage them to understand requirements and inform system architecture decisions.
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Experience with Amazon SageMaker.
Education
Years of Experience
High School Diploma/GED
24
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Active TS/SCI with Full Scope Polygraph.
