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AWS Engineer ML/AI - REMOTE

JSR Tech Consulting

Salary not specified
Aug 27, 2025
Remote, US
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The Global Technology team at a major investment firm is looking to build and enhance AI/ML infrastructure and application patterns on AWS to power mission-critical applications, ensuring high availability, durability, and resiliency.

Requirements

  • Ability to debug, optimize code, and automate routine tasks.
  • Experience with infrastructure automation tools such as Puppet, Ansible, CloudFormation, or Terraform.
  • Working knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable tools.
  • Experience using Git for source control management.
  • Ability to proficiently write code in Python, Node.js, Bash (shell), PowerShell, or other similar languages.
  • Experience using Docker within container orchestration platforms such as AWS ECS, EKS, Google Anthos, or others.
  • Understanding of foundational AWS services such as VPCs, EC2, S3, RDS, Auto Scaling Groups, CloudWatch Logs, etc.

Responsibilities

  • Focus on optimizing existing systems, building infrastructure, and eliminating work through automation.
  • Influence application and security architecture and design across multi and hybrid cloud platforms.
  • Peer-reviewing infrastructure-as-code (AWS CloudFormation, Python, Terraform, or similar).
  • Partnering with application and infrastructure teams to develop reusable cloud patterns.
  • Deployment and troubleshooting of infrastructure code.
  • Partner with the Site Reliability Engineering (SRE) team to conduct post-incident reviews and root cause analysis and building monitoring and automation to prevent future incidents.
  • Identify opportunities to build self-service capabilities and automate infrastructure and application deployments.

Other

  • 5+ years experience in Amazon Web Services (AWS).
  • Experience in working in an Agile/Scrum-focused organization.
  • Strong verbal and written communication skills; comfortable with translating technical problems to non-technical audiences.
  • One or more Associate or Professional-level AWS certificates.
  • Prior experience within a DevOps, DevSecOps, SRE, or UNIX/Linux Sys-Admin teams.