AI Infra Cloud Engineer - GenAI & MLOps

Ampcus Inc

Chantilly (VA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Ampcus Inc is looking for a skilled Cloud Engineer to design and manage cloud infrastructure supporting AI and ML workloads for a federal agency. This role involves developing and deploying cloud-native solutions while ensuring security, compliance, and performance.

The ideal candidate will have a Bachelor's or Master's in Computer Science, 7 years of experience in cloud engineering, and proficiency with AWS services. Candidates should be prepared to collaborate closely with AI architects and deliver scalable solutions.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • 7 years of experience in cloud engineering, infrastructure design, or DevOps.
  • Proficiency with AWS cloud platforms and associated services.
  • Experience supporting AI/ML workloads in cloud environments.
  • Strong understanding of cloud security, networking, and automation tools.

Responsibilities

  • Design and deploy cloud-native infrastructure to support AI/ML workloads.
  • Provision and manage cloud services for AI platforms.
  • Implement cloud security best practices and ensure compliance.
  • Develop infrastructure-as-code templates using tools.
  • Collaborate with AI architects, developers, and data teams.

Skills

Cloud engineering
AWS cloud platforms
AI/ML workloads
Infrastructure design
DevOps
Cloud security
Monitoring tools

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Infrastructure-as-code tools
CI/CD pipelines

Job description

Ampcus Inc is looking for a skilled Cloud Engineer to design and manage cloud infrastructure supporting AI and ML workloads for a federal agency. This role involves developing and deploying cloud-native solutions while ensuring security, compliance, and performance.

The ideal candidate will have a Bachelor's or Master's in Computer Science, 7 years of experience in cloud engineering, and proficiency with AWS services. Candidates should be prepared to collaborate closely with AI architects and deliver scalable solutions.

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