Cloud Engineer

• Location:
  Chantilly, VA
• Schedule:
  Full-Time
• Work Location:
  On-Site
• Shift: Day Job
• Travel:
  No
• Minimum
  
  Clearance Required:
  
  TS/SCI with CI Poly
• Benefits:

Rapid Cycle Solutions LLC (RCS) is an innovative small business providing IT and management consulting services to the U.S. Federal Government and commercial clients. We have unique strengths in complex, cross-organizational solution analysis, design, development, implementation, and change management supporting enterprise requirements. Our team of professionals has deep consulting backgrounds supporting the unique needs of our clients. Our team members have proven experience leading strategic initiatives within the civilian Government agencies.

* Note:

Please ensure you meet the Security Clearance obligations before applying to optimize your consideration for this and other employment opportunities with RCS.

RCS is seeking a Cloud Engineer to join our 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 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.

This position requires the candidate to meet specific Security Clearance obligations to work onsite in Chantilly, VA.

• 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.

• Clearance: Active TS/SCI clearance with CI Polygraph
• U.S. Citizenship required (NO EXCEPTIONS)
• Bachelor's and nine (9) years or more experience;
  Master's 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…