AI-Driven Cloud Systems Engineer I

Socket.dev

Hawthorne (CA)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

Amazon's Ring and Blink CS Technology Enablement team seeks a Systems Engineer to support AI-driven platforms powering customer service technologies. You will operate systems enabling large language models, intelligent automation, and AI agents at scale.

The ideal candidate has hands-on experience integrating AI/ML services into production infrastructure, building observability, and collaborating across engineering, product, security, privacy, legal, and operations teams to ship AI-powered

Qualifications

  • Bachelor's degree in Computer Science or related technical field or equivalent experience.
  • Experience in a 24/7 production environment.
  • Experience with Linux systems administration and/or development.

Responsibilities

  • Leverage AI tools and automation to drive efficiencies across all areas of responsibility.
  • Identify opportunities to streamline and improve operational processes through technology and automation.
  • Explore and implement AI-driven solutions for document management, reporting, and administrative tasks.
  • Stay current on emerging AI capabilities and recommend adoption where appropriate.
  • Document systems with appropriate level of detail; create, revise, and/or improve SOPs.
  • Oversee the administration and maintenance of AWS services and other systems supporting customer service operations.

Skills

Python
Java
Perl
PHP
Ruby
Bash/Shell

Education

Bachelor's degree in Computer Science

Tools

AWS Certifications
Salesforce Certifications

Job description

Amazon's Ring and Blink CS Technology Enablement team seeks a Systems Engineer to support AI-driven platforms powering customer service technologies. You will operate systems enabling large language models, intelligent automation, and AI agents at scale.

The ideal candidate has hands-on experience integrating AI/ML services into production infrastructure, building observability, and collaborating across engineering, product, security, privacy, legal, and operations teams to ship AI-powered

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