Cloud Engineer

Posted Yesterday
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Herndon, VA, USA
In-Office
Senior level
Security
The Role
Designs, deploys, and advises on secure, scalable single- and multi-cloud architectures for National Intelligence missions. Responsibilities include supporting AI/ML workloads, integrating cloud services, developing multi-cloud architecture frameworks, maintaining data models and governance artifacts, optimizing cloud cost and performance, guiding government customers, and translating complex requirements into end-to-end solutions.
Summary Generated by Built In

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
Qualifications

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 UsSAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Skills Required

  • Must be a US Citizen
  • Must have an active TS/SCI with Polygraph
  • Bachelor’s degree with 9 or more years of experience; alternatively, Master’s with 7 or more years, or PhD/JD with 4 or more years
  • Experience supporting or deploying AI/ML workloads in cloud environments
  • Experience integrating AI/ML services within cloud architectures
  • Five or more years of experience in cloud or hybrid environments, with additional experience accepted in lieu of a degree
  • Five or more years of experience with IaaS, PaaS, SaaS, cloud solution deployment, or large-scale data architecture and governance
  • Ability to translate requirements into end-to-end designs involving multiple interfaces and data repositories
  • Strong customer service, teaming, collaboration, analysis, and communication skills
  • AWS Certified Cloud Practitioner certification
  • AWS Certified Solutions Architect Associate certification
  • Cloud-related certification such as DevOps, Security, or ML
  • Certifications in Azure, OCI, GCP, or IBM Cloud
  • Experience as a cloud-agnostic architect
  • Experience with full life cycle cloud development projects
  • Experience with Linux and Microsoft Windows distributions
  • Experience with SQL and databases
  • Experience migrating custom-built and enterprise applications between on-premises and cloud environments
  • Experience debugging performance and technical issues
  • Experience using CI/CD frameworks and infrastructure automation
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The Company
HQ: Stamford, CT
34,000 Employees

What We Do

Spectrum San Diego is a high tech security innovator, specializing in ultra-low-dose X-ray screening systems.

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