Overview
On Site
Full Time
Skills
Science
Research and Development
Cost Reduction
Architectural Design
Jupyter
Machine Learning (ML)
PyTorch
GPU
Artificial Intelligence
High Performance Computing
Analytical Skill
Collaboration
Systems Design
Microsoft Exchange
Software Testing
System Requirements
SaaS
PaaS
IaaS
Migration
Service Level
Programming Languages
Python
PHP
Java
Ruby on Rails
Software Design
Integration Testing
Computer Hardware
Regulatory Compliance
Management
Security Clearance
Acquisition
System Integration
Cloud Computing
System Testing
Software Development
SAP BASIS
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2505712
Location: CHANTILLY, VA, US
Date Posted: 2025-05-15
Category: Engineering and Sciences
Subcategory: Systems Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC has an opportunity for a Cloud Engineer to work on an exciting, fast-paced program. This position provides Cloud Computing expertise to customer's R&D ground system design, architecture development, cloud application integration/deployment, and system integration. This position provides hands-on expertise implementing and managing the customer's multiple cloud infrastructures. In addition, the cloud engineer configures and troubleshoots complex systems, software, and applications hosted in cloud services associated with the customer's programs and projects. The cloud engineer is responsible for optimizing cloud resources for efficiency, reliability, and cost savings. This position will provide technical assessments to cloud environment's design and integration challenges and recommend mitigation approaches, to include hardware solutions, software solutions, and modification of architectural design. Finally, the cloud engineer would assist users with their cloud stack consisting of Python and Jupyter Lab environments, setting up and optimizing AI/ML frameworks such as PyTorch, deployment of AI models, implementing and managing GPU clusters, and optimizing AI infrastructures for high performance computing. The successful applicant will work to provide technical solutions to a wide range of complex and technically challenging work.
Responsibilities include but are not limited to:
Description:
Qualifications
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Location: CHANTILLY, VA, US
Date Posted: 2025-05-15
Category: Engineering and Sciences
Subcategory: Systems Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC has an opportunity for a Cloud Engineer to work on an exciting, fast-paced program. This position provides Cloud Computing expertise to customer's R&D ground system design, architecture development, cloud application integration/deployment, and system integration. This position provides hands-on expertise implementing and managing the customer's multiple cloud infrastructures. In addition, the cloud engineer configures and troubleshoots complex systems, software, and applications hosted in cloud services associated with the customer's programs and projects. The cloud engineer is responsible for optimizing cloud resources for efficiency, reliability, and cost savings. This position will provide technical assessments to cloud environment's design and integration challenges and recommend mitigation approaches, to include hardware solutions, software solutions, and modification of architectural design. Finally, the cloud engineer would assist users with their cloud stack consisting of Python and Jupyter Lab environments, setting up and optimizing AI/ML frameworks such as PyTorch, deployment of AI models, implementing and managing GPU clusters, and optimizing AI infrastructures for high performance computing. The successful applicant will work to provide technical solutions to a wide range of complex and technically challenging work.
Responsibilities include but are not limited to:
Description:
- Systems Engineering and Technical Assistance (SETA)
- Build relationships between key stakeholders such as vendors, cloud infrastructure providers, and the customer.
- Strong analytical and collaboration skills.
- Review system architectures, analyze requirements and system design, propose verification. methodologies, and help integrate complex ground systems.
- Coordinate and facilitate technical exchange meetings between various organizations.
- Monitor software testing to ensure system requirements are properly addressed.
- Cloud Computing
- Experience migrating and integrating systems into a cloud environment.
- Experience integrating cloud services and tools.
- Experience planning and engineering of an organization's cloud computing infrastructure and applications.
- Familiarity with various cloud technologies such as Software as a Service (SaaS), Platform as a Service (PaaS), or Infrastructure as a Service (IaaS).
- Support the customers migration to a cloud computing environment.
- Ability to ensure that all systems requirements and service-level agreements are met.
- Oversee the implementation of a complex blended architecture that includes bare metal and virtualized components as well as cloud-based applications.
- Software Integration
- Knowledge of various programming languages including Python, PHP, Java, and Ruby on Rails.
- Understanding of the software design implications required to maximize cloud computing environments.
- Experience integrating complex software systems into a cloud environment.
- Participate in independent integration testing on the system software or hardware to determine the system's compliance with specified requirements.
- Manage and monitor vendor's software development processes and activities.
Qualifications
- Active TS/SCI clearance with poly.
- BS or MS degree in Engineering or Information Technology 9 years' w/Bachelors; 7 with Masters
- Cloud computing experience.
- Experience with acquisition SETA support.
- Demonstrated ability to work in a fast paced, dynamic, and energetic environment.
- Experience with software integration to include cloud computing environment.
- Experience in operational readiness, rehearsals, and system testing.
- Experience across multiple engineering disciplines to include systems engineering, software development, and integration and test.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.