This senior cloud engineering role supports a multi-million dollar National Intelligence program, contributing to the Intelligence Community’s first multi-cloud initiative. The position involves advising Government IT teams on designing and building single- or multi-cloud computing architecture solutions, and developing future technology and architectural advancements to support cloud migration and evolution.
Responsibilities
Design, deploy, and support AI/ML solutions in the cloud, including data pipelines, model hosting, and integration with application services
Advise senior business and technical personnel to aid in the delivery of robust, scalable cloud architectures that meet or exceed mission requirements
Serve as a cloud agnostic advocate and help educate the Government customer on cloud services appropriate to meet mission requirements
Provide advisory services to maintain and evolve the future-state service provider-authorized, multi-cloud architecture, and knowledge database based on ever-changing IC mission needs
Ensure optimization of cost, consumption, and performance of services are achieved across all Cloud Service Providers (CSPs)
Develop a baseline multi-cloud architecture methodology and framework for implementation within the C2E multi-cloud ecosystem
Support the development and maintenance of data models, data dictionaries, data maps, and other architecture artifacts across the enterprise
Design all cloud solutions in alignment with applicable policies, standards, and practices
Provide creative and innovative architectural solutions to ill-defined requirements
Review and access impact of proposed scope changes to future architectures
May be required to provide cloud agnostic technical guidance in the formulation of customer multi-cloud work statements
Requirements
Must be a US Citizen
Must have an active TS/SCI with Polygraph
Bachelor's degree and nine (9) years or more experience; Master's degree and seven (7) years or more experience; PhD or JD and four (4) years or more experience
Must have experience supporting or deploying AI/ML workloads in cloud environments
Five (5) or more years of experience in a cloud and/or hybrid environment (additional 4 years of experience in lieu of degree)
Five (5) or more years of demonstrated experience in one or more of the following activities:
IaaS, PaaS, and SaaS services (e.g., compute, storage, network, security, administration, automation, application services, and databases)
Designing and deploying cloud solutions to Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, or Oracle Cloud Infrastructure (OCI)
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Large-scale data architecture, data modeling, database design, and information systems implementation
Demonstrated knowledge and expertise in enterprise data strategy, data governance practices, data stewardship principles, data standards, and metadata management best practices
Ability to translate requirements into end-to-end designs for systems that involve multiple interfaces and support data repositories
Strong customer service skills, teaming skills, and the ability to collaborate within a cross-functional team, as well as the CSPs (AWS, Azure, Google, IBM, and Oracle)
Certification(s):
AWS Certified Cloud Practitioner
AWS Certified Solutions Architect – Associate
Cloud related (e.g., DevOps, Security, and/or ML)
Nice to have:
Certifications in any of the following CSPs:
Azure
OCI
GCP
IBM
Experience as a cloud agnostic architect
Strong analysis and quality assessment skills
Experience with successful full life cycle cloud development projects
Experience with various Linux and Microsoft Windows OSs distributions
Experience with Structured Query Language (SQL) and databases
Experience migrating both custom built and enterprise apps to and from on-prem to cloud
Experience debugging performance and technical issues
Experience building and deploying systems in the cloud using continuous integration/continuous delivery (CI/CD) frameworks and infrastructure automation
Excellent written and verbal communications skills
Ability to work well independently and within a team environment
Ability to explain technical issues clearly and accurately to both technical and non-technical audiences
Demonstrated ability to adjust to change priorities
Important Details
Minimum Clearance Required: TS.SCI_wPoly
About the Company
This program supports the Cloud Investment Multi-Cloud Management (CIMM) team within the National Intelligence program.
SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world.
