SAIC

Technology integrator delivering defense IT solutions

Senior Cloud Engineer

Cloud EngineeringConfirmed live in the last 24 hours

Full-timeHerndon, VA, USANo salary listedIn-person

About the Job

Requirements

Must be a U.S. citizen.
Must have an active Top Secret/Sensitive Compartmented Information clearance with polygraph.
Have a bachelor's degree and nine or more years of experience, a master's degree and seven or more years of experience, or a PhD or JD and four or more years of experience.
Have experience supporting or deploying artificial intelligence or machine learning workloads in cloud environments.
Have experience integrating artificial intelligence or machine learning services within cloud architectures, such as AWS, Azure, or Google Cloud Platform.
Have five or more years of experience in a cloud or hybrid environment, or four additional years of experience in lieu of a degree.
Have five or more years of demonstrated experience in at least one of the following: IaaS, PaaS, and SaaS services, including compute, storage, network, security, administration, automation, application services, and databases; designing and deploying cloud solutions to AWS, Microsoft Azure, Google Cloud Platform, IBM Cloud, or Oracle Cloud Infrastructure; large-scale data architecture, data modeling, database design, and information systems implementation; or enterprise data strategy, data governance, data stewardship, data standards, and metadata management best practices.
Be able to translate requirements into end-to-end designs for systems involving multiple interfaces and supporting data repositories.
Have strong customer service and teaming skills, and be able to collaborate within a cross-functional team and with cloud service providers including AWS, Azure, Google, IBM, and Oracle.
Hold AWS Certified Cloud Practitioner, AWS Certified Solutions Architect – Associate, or a cloud-related certification such as DevOps, Security, or machine learning.

Responsibilities

Advise senior business and technical personnel to deliver robust, scalable cloud architectures that meet or exceed mission requirements.
Serve as a cloud-agnostic advocate and educate the Government customer on cloud services appropriate to mission requirements.
Provide advisory services to maintain and evolve the future-state service provider-authorized multi-cloud architecture and knowledge database based on changing Intelligence Community mission needs, and ensure optimization of 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 the development and maintenance of data models, data dictionaries, data maps, and other enterprise architecture artifacts.
Design cloud solutions in alignment with applicable policies, standards, and practices.
Provide architectural solutions to ill-defined requirements.
Review and assess the impact of proposed scope changes to future architectures.
As needed, provide cloud-agnostic technical guidance in formulating customer multi-cloud work statements.
Design, deploy, and support artificial intelligence and machine learning solutions in the cloud, including data pipelines, model hosting, and integration with application services.

Desired Qualifications

Hold certifications in Azure, Oracle Cloud Infrastructure, Google Cloud Platform, or IBM cloud services.
Have experience as a cloud-agnostic architect.
Have analysis and quality assessment skills.
Have experience with successful full life-cycle cloud development projects.
Have experience with various Linux and Microsoft Windows operating system distributions.
Have experience with Structured Query Language and databases.
Have experience migrating custom-built and enterprise applications to and from on-premises environments and the cloud.
Have experience debugging performance and technical issues.
Have experience building and deploying cloud systems using continuous integration/continuous delivery frameworks and infrastructure automation.
Have written and verbal communication skills.
Be able to work independently and within a team environment.
Be able to explain technical issues clearly and accurately to technical and non-technical audiences.
Be able to adjust to changing priorities.

We are seeking a highly motivated Senior Cloud Engineer to join our multi-million dollar National Intelligence program supporting the Cloud Investment Multi-Cloud Management (CIMM) team. As a contributor to the Intelligence Community’s first multi-cloud initiative, you will be at the epicenter of emergent cloud computing technologies, establishing a foundation that will evolve to include all agencies within the IC. As a Senior Cloud Engineer, you will advise Government IT teams on the design and build of single- or multi-cloud computing architecture solutions that meet mission requirements, and develop future technology and architectural advancements to support the Government’s architectural strategy, cloud migration, and continued evolution.

Your responsibilities will include the following:

Seeking a Cloud Engineer who has experience designing, deploying, and supporting AI/ML solutions in the cloud, including data pipelines, model hosting, and integration with application services.
Advising senior business and technical personnel to aid in the delivery of robust, scalable cloud architectures that meet or exceed mission requirements
Serving as a cloud agnostic advocate and helping to educate the Government customer on cloud services appropriate to meet mission requirements
Providing 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 and ensuring optimization of cost, consumption, and performance of services are achieved across all Cloud Service Providers (CSPs)
Developing a baseline multi-cloud architecture methodology and framework for implementation within the C2E multi-cloud ecosystem
Supporting the development and maintenance of data models, data dictionaries, data maps, and other architecture artifacts across the enterprise
Designing all cloud solutions in alignment with applicable policies, standards, and practices
Providing creative and innovative architectural solutions to ill-defined requirements
Reviewing and accessing 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

Required:

Must be a US Citizen
Must have an active TS/SCI with Polygraph
Bachelors and nine (9) years or more experience; Masters 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.
Experience integrating AI/ML services within cloud architectures (e.g., AWS, Azure, GCP) required.
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)
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)

Desired:

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

About the Company

SAIC

Technology integrator delivering defense IT solutions

SAIC is a technology integrator that supports the U.S. government with engineering and IT services for defense, space, and intelligence missions. Its offerings include integrating complex systems, software, data analytics, cybersecurity, and digital engineering to help national security programs run smoothly. The company operates by combining technical expertise with large-scale government contracts, delivering end-to-end solutions from planning and development to deployment and support. Unlike many firms that focus on a single product, SAIC differentiates itself through a long history of government work, its origins as an employee-owned company, and its growth through strategic acquisitions to broaden capabilities in digital engineering, mission IT, and related services. SAIC’s goal is to enable national defense and intelligence operations by providing the technology and services needed to design, build, and maintain critical systems at scale.

Company size: 10,001+
Company stage: IPO
Headquarters: Reston, VA
Founded: 1969

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