Cloud Engineer

Machine Learning Technologies, LLC; Herndon (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Senior Cloud Engineer to join the IC program helping design, deploy, and optimize multi-cloud AI/ML workloads. The role requires active TS/SCI with Polygraph and extensive cloud experience across AWS, Azure, GCP, and other CSPs.

You will advise government IT teams, educate customers on cloud services, and shape architectures that meet mission requirements while optimizing cost and performance across providers.

Qualifications

• Active TS/SCI with Polygraph
• Bachelor's degree with 9+ years experience; Master's with 7+ years; PhD/JD with 4+ years
• Experience supporting or deploying AI/ML workloads in cloud environments
• Experience integrating AI/ML services within cloud architectures (AWS, Azure, GCP)
• 5+ years in cloud/hybrid environments
• 5+ years in IaaS, PaaS, SaaS services and related cloud components
• Knowledge of data modeling, governance, metadata management
• Ability to translate requirements into end-to-end designs across multiple interfaces
• Strong customer service and cross-functional collaboration
• AWS Practitioner/ Associate and cloud-related certifications

Responsibilities

• Design, deploy, and support AI/ML workloads in cloud environments
• Advise senior personnel to deliver robust, scalable cloud architectures
• Educate Government customers on cloud services for mission needs
• Maintain and evolve multi-cloud architectures with cost and performance optimization
• Develop baseline multi-cloud architecture methodology for C2E ecosystem
• Support data models and data dictionaries across the enterprise
• Align cloud solutions with policies, standards and practices
• Provide innovative architectural solutions for ill-defined requirements

Skills

AI/ML in cloud

Cloud architecture design

Multi-cloud

IaaS/PaaS/SaaS

Data modeling

Stakeholder collaboration

Cost optimization

Education

Bachelor's degree

Master's degree

PhD/JD

Tools

AWS

Azure

Google Cloud Platform

IBM Cloud

OCI

DevOps practices

Security best practices

ML in cloud tooling

Job description

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 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, 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)

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.