AWS AI Infrastructure Engineer

Company:  Peraton
Location: Herndon
Closing Date: 24/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

AWS AI Infrastructure Engineer

Job Locations: US

Requisition ID: 2024-150893

Position Category: Information Technology

Clearance: Public Trust

Responsibilities

Peraton is currently seeking skilled and qualified candidates for our AWS AI Infrastructure Engineer position on the DHS DCCO program. This person is responsible for all phases of development and modernization, in support of a government multi-cloud environment with 50+ customer tenants and growing. This person must have extensive experience architecting robust infrastructure that supports various AI solutions, deploying those solutions across the platform, and providing ongoing support for tenants using the environment.

Day to Day Work Responsibilities:

  1. Design, develop, and enhance a scalable infrastructure platform in AWS to support machine learning and AI workloads.
  2. Implement best practices for AWS cloud architecture, security, performance, and high availability.
  3. Integrate and configure key AWS Services, including AWS SageMaker, AWS Lambda, Amazon Bedrock, and other AI workloads.
  4. Implement and deploy AWS AI solutions across the platform to meet tenant requirements.
  5. Collaborate with development and data science teams to operationalize machine learning models and AI services such as SageMaker and AWS Deep Learning AMIs.
  6. Automate deployment of AI Services using GitLab/GitLab CI, or other CI/CD tools.
  7. Continuously monitor the health, performance, and security of the AI platform using tools like Amazon CloudWatch, AWS Security Hub, and AWS Config.
  8. Support tenants in troubleshooting, optimizing workloads, and resolving issues as they onboard and scale within the environment.
  9. Provide ongoing platform support and ensure timely resolution of incidents and service requests.
  10. Identify areas for performance improvement in the AI infrastructure and propose optimization solutions.
  11. Implement patching, updates, and enhancements to ensure the platform remains current and secure.
  12. Develop automation scripts to manage cloud infrastructure and improve operational efficiency.

Qualifications

Basic Qualifications:

  1. Bachelor's degree with 8+ years experience, master's degree with 6+ years experience or high school diploma/GED with 12+ years experience.
  2. U.S. Citizenship required; must have the ability to obtain and maintain a Public Trust clearance.
  3. 5+ years of experience designing, building, and monitoring AWS Infrastructure.
  4. Experience implementing AWS AI/ML solutions and model deployment.
  5. Familiarity with managing systems in the cloud and infrastructure-as-code tools, such as Terraform and Ansible.
  6. Experience with AI/ML Frameworks (e.g. TensorFlow, PyTorch).
  7. Solid understanding of networking, security, and system architecture.
  8. Certifications required: AWS Certified Solutions Architect and AWS Certified Machine Learning or equivalent.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range

$104,000 - $166,000. This represents the typical salary range for this position based on experience and other factors.

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