Job description

JOB DESCRIPTION: SAIC seeks a SeniorCloud Computing Engineer to join our team of professionals providing technical and program services to the U.S. Government (USG). SAIC provides research, engineering, design, analysis, acquisition, development, integration, test, and operations support USG Intelligence Community (IC) and Department of Defense (DoD) customers. We support development and delivery of next generation and generation after next national security systems based on land, at sea, in air, and in space. The Senior Cloud Computing Engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational cloud-based architectures. This position provides Systems Engineering & Technical Advisory (SETA) support services. Your responsibilities include some or all of the following depending on your personal desires and capabilities: • Expertise with commercially available cloud computing services such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) and emerging cloud services. • Expertise with cloud computing services and architectures • Expertise architecting and designing cloud computing environments. • Knowledge of the security considerations, best practices, and implementation associated with cloud computing services and architectures • Expertise setting up, managing, and optimizing cloud architectures • Provide recommendations for cloud development strategies, adoption of commercial cloud services, solution architecture, and application and data migration • Active member of enterprise R&D, learning, and innovation environment creating, gathering, and sharing knowledge to grow organizational competency and capability • Support researchers and users on using cloud computing, integration of application and libraries, and problem resolution • Understanding of current artificial intelligence (AI) and machine learning (ML) offerings and research Required Qualifications • Active TS/SCI clearance with Poly • Must have bachelor’s degree in science, technology, engineering, or math discipline with minimum of 14 years of relevant work experience or 11 years with master’s degree • Experience with two or more cloud service providers (AWS, Azure, Google, etc.) • DoD 8140 certification required to get privileged user access (Security+, CISSP, CISM, or GSEC) • Working knowledge of networks, compute, storage, virtualization, design and architecture across multiple fabrics (classification levels) • Proven experience with UNIX and Windows operating systems and commands • Experience with applications used in research such as Python and Jupyter Lab • Proven self-starter and customer focused Desired Qualifications • Ability to describe complex cloud computing architecture concepts and configurations to non-technical audiences • Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint) • Critical thinking, problem-solving, and analytical skills • Interpersonal and communication skills for written reports, group discussion, and oral presentations • Working experience in the IC or DoD

Requirements

Must-haves

Your responsibilities include some or all of the following depending on your personal desires and capabilities:
Expertise with commercially available cloud computing services such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) and emerging cloud services.
Expertise with cloud computing services and architectures
Expertise architecting and designing cloud computing environments.
Knowledge of the security considerations, best practices, and implementation associated with cloud computing services and architectures
Expertise setting up, managing, and optimizing cloud architectures
Provide recommendations for cloud development strategies, adoption of commercial cloud services, solution architecture, and application and data migration
Active member of enterprise R&D, learning, and innovation environment creating, gathering, and sharing knowledge to grow organizational competency and capability
Support researchers and users on using cloud computing, integration of application and libraries, and problem resolution
Understanding of current artificial intelligence (AI) and machine learning (ML) offerings and research
Active TS/SCI clearance with Poly
Must have bachelor’s degree in science, technology, engineering, or math discipline with minimum of 14 years of relevant work experience or 11 years with master’s degree
Experience with two or more cloud service providers (AWS, Azure, Google, etc.)
DoD 8140 certification required to get privileged user access (Security+, CISSP, CISM, or GSEC)
Working knowledge of networks, compute, storage, virtualization, design and architecture across multiple fabrics (classification levels)
Proven experience with UNIX and Windows operating systems and commands
Experience with applications used in research such as Python and Jupyter Lab
Proven self-starter and customer focused

Nice-to-haves

Ability to describe complex cloud computing architecture concepts and configurations to non-technical audiences
Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint)
Critical thinking, problem-solving, and analytical skills
Interpersonal and communication skills for written reports, group discussion, and oral presentations
Working experience in the IC or DoD

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlawsazurepython

Platform: oracle-cloud
Effort: medium