Cloud Engineer

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.

• 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

• 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, Google Cloud Platform) 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 (Google Cloud Platform), 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,…