Position
Summary Base-2 Solutions is seeking a Systems Engineer 4 to apply systems engineering principles across the full system life cycle, supporting 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. Essential
Duties and
- Apply systems engineering principles throughout the system life cycle phases of concept, development, production, utilization, support, and retirement.
- Interface with the Government regarding systems engineering technical considerations and associated problems, issues, or conflicts.
- Communicate with program personnel, government overseers, and senior executives.
- 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.
- Support technical process areas including stakeholder
requirements definition,
- Support project process areas including project planning, project assessment and control, decision management, risk management, configuration management, information management, and measurement.
- Support enterprise process areas including project portfolio management, infrastructure management, lifecycle model management, human resource management, and quality management.
- Support agreement process areas including acquisition and supply. Required
Qualifications
- Active TS/SCI with Full Scope Polygraph.
- Experience in systems engineering sufficient to meet one of the stated
education/
experience pathways.
•
- Ability to support technical integrity, quality, and completeness of systems engineering deliverables.
- Ability to communicate effectively with Government stakeholders, program personnel, and senior executives.
Experience with cloud architecture, cloud engineering, or platform engineering, especially in AWS.
- Experience with AI/ML system design and implementation.
- High-level understanding of the AI lifecycle, including development, training, inference, and monitoring.
- Experience with ML pipeline development, model deployment, and DevOps/MLOps.
- Experience with system security and networking, particularly implementation of system security on classified systems.
- Experience with data engineering and data lifecycle management.
- Excellent communication and collaboration
skills with varied stakeholder groups and the ability to proactively engage them to understand
requirements and inform system architecture decisions.
Preferred
Qualifications
- Experience with Amazon SageMaker. Required
Education and
Experience Equivalency
- High School Diploma/GED with 14 years of
experience.
- Associates Degree with 14 years of
experience.
- Bachelors' Degree with 10 years of
experience.
- Masters' Degree with 8 years of
experience.
experience. Required Certifications
- None specified. Required Security
Clearance
- Active TS/SCI with Full Scope Polygraph.