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Supports a customer computer network operations organization through systems engineering and project management. Responsibilities include evaluating AI/ML architectures, coordinating enterprise deployments, assessing project planning and reporting, maintaining Jira and Confluence in agile environments, developing sustainable processes, and documenting process improvements. The role requires strong communication, systems engineering experience, and an active TS/SCI clearance with polygraph.

Develops, maintains, tests, and enhances enterprise infrastructure software. Designs and manages cloud infrastructure using OpenStack and comparable platforms, analyzes system performance, supports software and system engineering, automates networks, and addresses cloud security and operations needs. The role requires strong Linux and Python skills, software development experience, technical documentation, requirements analysis, and a TS/SCI clearance with polygraph.

Develop, maintain, and enhance complex software systems from documented requirements; review, test, and document software components; contribute software input to system design and use COTS/GOTS; design, deploy, and manage cloud infrastructure (OpenStack); analyze system performance and workflows; troubleshoot issues; collaborate with users and system engineers using Linux and Python.

Develop, maintain, and enhance software systems from requirements; review and test software components; apply software design/development methodologies; contribute to system design using COTS/GOTS; analyze system performance and processes; collaborate with users and system engineers; investigate and resolve problem areas.

Design, build, and secure AI/ML-assisted systems for systems engineering, architecture, security, and requirements generation. Create API accounts, design intuitive and widely accessible user interfaces, implement modular security and access controls, build export and integration features (including Microsoft Office and external management tools), and produce user training materials and lessons learned to improve AI/ML processes.

Provide enterprise-level system administration: design networks and bills of materials, document installations, collaborate with network/storage/server teams, assess capacity/power/space/cooling/funding, perform certification/accreditation and risk assessments, optimize system operations, configure Linux/Unix/Windows, manage VMware virtual servers, and produce technical documentation. Requires TS/SCI with polygraph.

Provide systems engineering assessments and administer Windows and VMware desktop systems. Collaborate with network, storage, and server teams to define solutions, respond to capacity requests, install and maintain user desktops, optimize system resources, and perform capacity planning and troubleshooting.

Design, develop, test, and maintain enterprise infrastructure software and data systems. Analyze system performance, recommend COTS/GOTS use, collaborate with users and engineers, investigate process issues, and document test results. Follow software development and design methodologies appropriate to the environment.

The role involves designing user-friendly AI/ML systems and interfaces, ensuring security measures, and providing expert advice based on customer needs, requiring extensive software engineering experience.

Provide support for the preparation, review, and maintenance of technical documents. The role involves writing and editing documentation, creating implementation and end-user guides, and formatting publications. Requires monitoring tasks and utilizing automated data systems.