GenAI DevOps Engineer – Cloud & AI Infra

Gamma Technologies

Westmont (IL)

Hybrid

USD 110,000 - 120,000

Full time

14 days+
Application generator

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Benefits offered by this job

Flexible work options
Onsite fitness center
Growth opportunities
401K and profit sharing
Parental leave

Job summary

Gamma Technologies is seeking a DevOps and GenAI Backend Developer to build and operate scalable cloud-native services powering Generative AI workloads. You will own deployments, monitoring, security, and cost optimization while collaborating with AI and software teams.

The role demands hands-on AWS expertise, Python automation, and a proven ability to deliver reliable systems in production, with a focus on auto-scaling, fault tolerance, and secure architectures.

Qualifications

  • BS/MS in Computer Science, Engineering, AI, or related field or equivalent experience.
  • Experience deploying ML/LLM apps in production.
  • Strong AWS cloud architecture and CI/CD expertise.

Responsibilities

  • Design, implement and maintain scalable AI-enabled backend and DevOps workflows.
  • Define deployments and CI/CD pipelines, monitor systems, and optimize costs.
  • Secure cloud infrastructure and ensure compliance with standards.
  • Collaborate with product and engineering teams across environments.

Skills

AWS Cloud Architecture
AI Applications in production
DevOps and CI/CD
Python automation
Security and compliance
Collaboration with developers
Jira/GitLab
Java
Angular

Education

BS/MS in Computer Science or related field

Tools

Terraform
CloudFormation
Kubernetes
Ansible
DynamoDB
PostgreSQL
Git
Python tooling

Job description

Gamma Technologies is seeking a DevOps and GenAI Backend Developer to build and operate scalable cloud-native services powering Generative AI workloads. You will own deployments, monitoring, security, and cost optimization while collaborating with AI and software teams.

The role demands hands-on AWS expertise, Python automation, and a proven ability to deliver reliable systems in production, with a focus on auto-scaling, fault tolerance, and secure architectures.

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