Cloud Engineer

SAIC•Herndon, VA

17d

About The Position

SAIC is seeking a highly motivated Senior Cloud Engineer to join its multi-million-dollar National Intelligence program supporting the Cloud Investment Multi-Cloud Management (CIMM) team. The role contributes to the Intelligence Community’s first multi-cloud initiative, helping establish a foundation intended to evolve across IC agencies. The engineer advises Government IT teams on designing and building single- or multi-cloud computing architectures that meet mission requirements and develops technology and architectural advancements supporting the Government’s architectural strategy, cloud migration, and ongoing evolution. The position focuses on designing, deploying, and supporting cloud-based AI/ML solutions, including data pipelines, model hosting, and integration with application services. It also provides cloud-agnostic architectural advice, helps maintain and evolve authorized multi-cloud architecture and its knowledge base, and supports cost, consumption, and performance optimization across cloud service providers.

Requirements

Must be a U.S. citizen.
Must have an active TS/SCI with Polygraph clearance.
Bachelor’s degree and at least 9 years of experience, or master’s degree and at least 7 years of experience, or PhD/JD and at least 4 years of experience.
Experience supporting or deploying AI/ML workloads in cloud environments.
Experience integrating AI/ML services within cloud architectures such as AWS, Azure, or GCP.
At least 5 years of experience in a cloud and/or hybrid environment; an additional 4 years of experience may substitute for a degree.
At least 5 years of demonstrated experience in one or more of the following: IaaS, PaaS, and SaaS services; designing and deploying cloud solutions to AWS, Azure, GCP, IBM Cloud, or Oracle Cloud Infrastructure; large-scale data architecture, data modeling, database design, and information systems implementation; or enterprise data strategy, governance, stewardship, standards, and metadata management.
Ability to translate requirements into end-to-end designs for systems with multiple interfaces and data repositories.
Strong customer service and teaming skills, with the ability to collaborate with cross-functional teams and cloud service providers.
Required certifications: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect – Associate, and a cloud-related certification such as DevOps, Security, and/or ML.

Nice To Haves

Certifications in Azure, OCI, GCP, or IBM cloud services.
Experience as a cloud-agnostic architect.
Strong analysis and quality-assessment skills.
Experience with successful full life-cycle cloud development projects.
Experience with Linux and Microsoft Windows operating system distributions.
Experience with SQL and databases.
Experience migrating custom-built and enterprise applications between on-premises environments and the cloud.
Experience debugging performance and technical issues.
Experience building and deploying cloud systems using CI/CD frameworks and infrastructure automation.
Excellent written and verbal communication skills.
Ability to work independently and within a team environment.
Ability to explain technical issues clearly and accurately to technical and non-technical audiences.
Demonstrated ability to adjust to changing priorities.

Responsibilities

Design, deploy, and support AI/ML solutions in cloud environments, including data pipelines, model hosting, and integration with application services.
Advise senior business and technical personnel on robust, scalable cloud architectures that meet or exceed mission requirements.
Advocate for cloud-agnostic approaches and educate the Government customer on cloud services suitable for mission requirements.
Provide advisory services to maintain and evolve the future-state service-provider-authorized multi-cloud architecture and knowledge database based on changing IC mission needs.
Help optimize cost, consumption, and service performance across Cloud Service Providers.
Develop a baseline multi-cloud architecture methodology and framework for implementation within the C2E multi-cloud ecosystem.
Support development and maintenance of enterprise data models, data dictionaries, data maps, and other architecture artifacts.
Design cloud solutions in alignment with applicable policies, standards, and practices.
Develop creative architectural solutions to ill-defined requirements.
Review and assess the impact of proposed scope changes on future architectures.
Provide cloud-agnostic technical guidance in formulating customer multi-cloud work statements when required.