AWS Cloud AI DevOps Developer

AMroute LLC; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

AMroute LLC seeks an experienced AWS Cloud AI DevOps Developer to design, build, and automate cloud-native AI development platforms and deployment pipelines on AWS. The role emphasizes Terraform, CI/CD pipelines, and integration of AWS Bedrock and AWS Kiro for scalable AI workloads.

The ideal candidate brings 5+ years of hands-on AWS experience, strong scripting with Python and Bash, and a track record of production deployments with robust security practices.

Qualifications

• 5 years or more of hands-on experience with AWS cloud technologies.
• AWS Solutions Architect – Associate certification preferred; Professional certification a plus.
• Experience with AWS Bedrock, AWS Kiro, Terraform, Python and Shell scripting (Bash).
• Strong understanding of AWS networking, IAM, EC2, Lambda, S3, CloudWatch, CloudFormation.
• CI/CD automation and DevOps best practices; Git version control.
• Experience deploying cloud-native applications in production; troubleshooting skills.

Responsibilities

• Design, implement, and maintain cloud-native infrastructure on AWS using Terraform.
• Build and manage CI/CD pipelines with GitHub Actions to automate deployment.
• Develop and maintain AI deployment workflows using Bedrock and Kiro.
• Automate cloud operations, provisioning, monitoring, and configuration management.
• Collaborate with AI/ML engineers to deploy, manage, and optimize generative AI workloads.
• Develop automation scripts using Python and Bash; ensure security and governance.
• Implement cloud security, IAM policies, networking, and governance best practices.
• Monitor performance, troubleshoot production issues, and optimize infrastructure.
• Support DevSecOps by integrating security scanning into CI/CD pipelines.
• Document architecture, deployment procedures, and operational runbooks.
• Stay current with AWS AI services and DevOps technologies.

Skills

AWS cloud experience

Python

Bash scripting

CI/CD automation

Troubleshooting

Security best practices

Cloud security

Production deployment

Gen AI workload understanding

Education

AWS Solutions Architect – Associate

AWS Solutions Architect – Professional

Tools

Terraform

Git

Amazon Bedrock

AWS Kiro

CloudFormation

Job description

We are seeking an experienced AWS Cloud AI DevOps Developer to design, build, and automate cloud-native AI development platforms and deployment pipelines on AWS. The ideal candidate has strong expertise in AWS infrastructure, Infrastructure as Code (Terraform), CI/CD automation, and emerging Generative AI services such as Amazon Bedrock and AWS Kiro. This role will partner closely with software engineers, AI/ML teams, and cloud architects to deliver secure, scalable, and automated AI solutions.

Required Qualification

• s3–5 years of hands-on experience with AWS cloud technologies
• .AWS Solutions Architect – Associate certification preferred (Professional certification is a plus)
• .Experience with
• :AWS Bedroc
• kAWS Kir
• sTerrafor
• mPytho
• nShell scripting (Bash
• )Strong understanding of
• :AWS networking, IAM, EC2, Lambda, S3, CloudWatch, CloudFormation, and related service
• sCI/CD automation and DevOps best practice
• sInfrastructure as Code (IaC
• )Git version control and collaborative development workflow
• sExperience deploying cloud-native applications in production environments
• .Strong troubleshooting, automation, and problem-solving skills

Key Responsibiliti

• esDesign, implement, and maintain cloud-native infrastructure on AWS using Infrastructure as Code (Terraform
• ).Build and manage CI/CD pipelines using GitHub Actions to automate application and infrastructure deployment
• s.Develop and maintain AI application deployment workflows utilizing Amazon Bedrock and AWS Kir
• o.Automate cloud operations, provisioning, monitoring, and configuration managemen
• t.Collaborate with AI/ML engineers to deploy, manage, and optimize generative AI workload
• s.Develop automation scripts and utilities using Python and shell scriptin
• g.Implement cloud security, IAM policies, networking, and governance best practice
• s.Monitor system performance, troubleshoot production issues, and optimize cloud infrastructur
• e.Support DevSecOps practices by integrating security scanning and compliance checks into CI/CD pipeline
• s.Document architecture, deployment procedures, and operational runbook
• s.Stay current with AWS AI services, DevOps technologies, and cloud best practice

s.
Certificati

onsPrefer

• redAWS Certified Solutions Architect – Associ
• ateAWS Certified Solutions Architect – Professio
• nalAWS Certified DevOps Engineer – Professional (a pl