Cloud Engineer

SAIC; Herndon (VA); On-site; USD 170,000 - 210,000; Full time

Job summary

SAIC seeks a Senior Cloud Engineer to join the National Intelligence program and the CIMM team. You will guide government IT on multi-cloud designs, architect and deploy AI/ML workloads, and help shape cloud strategy across providers.

You will lead architecture discussions, develop methodologies, ensure policy alignment, and deliver scalable, cost-conscious solutions aligned with mission requirements in a cloud-enabled environment.

Qualifications

• U.S. Citizenship and an active TS/SCI with Poly.
• 9+ years of cloud or hybrid environment experience; advanced degree may reduce required years.
• Experience deploying AI/ML workloads in cloud environments.
• Experience with AWS, Azure, GCP or other CSPs and cloud services.

Responsibilities

• Advise government IT teams on multi-cloud architectures to meet mission requirements.
• Design, deploy, and support AI/ML workloads in the cloud.
• Educate stakeholders on cloud services appropriate to mission needs.
• Develop baseline multi-cloud architecture methodology and framework.
• Ensure cost, performance, and security considerations across CSPs.

Skills

AI/ML in cloud

Cloud architecture

Multi-cloud design

Customer collaboration

Cloud governance

Education

Bachelor's degree

Master's degree

PhD or JD

Tools

AWS

Azure

GCP

OCI

IBM Cloud

DevOps tools

Job description

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