Cloud Engineer

Rapid Cycle Solutions•Chantilly, VA
•Onsite

About The Position

Rapid Cycle Solutions LLC (RCS) is seeking a Cloud Engineer to support its National Intelligence program and the Cloud Investment Multi-Cloud Management (CIMM) team. The role contributes to the Intelligence Community’s multi-cloud initiative and advises Government IT teams on designing and building single- or multi-cloud computing architectures that meet mission requirements. The Cloud Engineer will help advance technology and architecture in support of Government strategy, cloud migration, and continued evolution, and will work onsite in Chantilly, Virginia. An active TS/SCI clearance with CI Polygraph and U.S. citizenship are required. The position focuses on designing, deploying, and supporting cloud-based AI/ML solutions, including data pipelines, model hosting, and integration with application services. The engineer provides cloud-agnostic guidance, helps maintain and evolve authorized multi-cloud architecture and knowledge resources, and supports cost, consumption, and performance optimization across cloud service providers. The role also develops architecture methods and frameworks and contributes to enterprise data and architecture artifacts. RCS describes itself as an innovative small business providing IT and management consulting services to U.S. Federal Government and commercial clients. It offers competitive compensation packages, benefits, and learning and development opportunities. The listed salary range is not included in the supplied description.

Requirements

  • Active TS/SCI clearance with CI Polygraph.
  • U.S. citizenship.
  • Bachelor’s degree and at least 9 years of experience; or a master’s degree and at least 7 years; or a PhD or JD and at least 4 years. An additional 4 years of experience may substitute for the degree.
  • 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 or hybrid environment, subject to the stated additional-experience substitution 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, Microsoft Azure, GCP, IBM Cloud, or OCI; large-scale data architecture, data modeling, database design, and information systems implementation.
  • Demonstrated knowledge of enterprise data strategy, data governance, data stewardship, data standards, and metadata management best practices.
  • Ability to translate requirements into end-to-end designs for systems with multiple interfaces and data repositories.
  • Strong customer service and teaming skills, including the ability to collaborate across a cross-functional team and with cloud service providers.
  • AWS Certified Cloud Practitioner certification.
  • AWS Certified Solutions Architect – Associate certification.
  • A cloud-related certification, such as DevOps, Security, 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.
  • Ability to explain technical issues clearly and accurately to technical and non-technical audiences.
  • Demonstrated ability to adjust to changing priorities.

Responsibilities

  • Advise senior business and technical personnel on robust, scalable cloud architectures that meet or exceed mission requirements.
  • Advocate for cloud-agnostic solutions and educate Government customers about cloud services suited to mission requirements.
  • Provide advisory services to maintain and evolve the future-state, service-provider-authorized multi-cloud architecture and knowledge database in response to changing Intelligence Community mission needs.
  • Help optimize cost, consumption, and performance across cloud service providers.
  • Develop a baseline multi-cloud architecture methodology and implementation framework 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 for 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.
  • Design, deploy, and support cloud AI/ML solutions, including data pipelines, model hosting, and integration with application services.

Benefits

  • Competitive compensation packages.
  • Benefits (specific benefits are not detailed in the supplied description).
  • Learning and development opportunities.
  • Referral bonus after a successful hire, paid 90 days after the new hire’s start date; bonus amounts vary and are provided as a gift certificate.
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