AWS Cloud DevOps Engineer

Machine Learning Technologies, LLC; Denver (CO); On-site; USD 120,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC in Denver, Colorado is seeking an experienced AWS Cloud DevOps Engineer to design, implement, and maintain scalable cloud infrastructure and automated CI/CD pipelines. You will work with AWS services, IaC, and containerized deployments to enable rapid, secure software releases.

You will collaborate with development, security, and operations teams to optimize performance, reliability, and cost while applying best practices in monitoring, incident response, and

Qualifications

• 5+ years of Cloud DevOps or infrastructure engineering.
• Hands-on with AWS (EC2, S3, VPC, IAM, RDS, Lambda, CloudWatch).
• Experience with Terraform or AWS CloudFormation.
• Proficient with Jenkins, GitLab CI, or GitHub Actions.
• Docker and Kubernetes (EKS) experience.
• Scripting in Python, Bash or Shell.
• Linux administration and networking experience.
• Familiar with monitoring and logging tools (CloudWatch, Prometheus, Grafana).

Responsibilities

• Design, deploy, and manage cloud infrastructure using AWS services.
• Build and maintain CI/CD pipelines for automated application deployment.
• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Manage containerized applications using Docker and Kubernetes.
• Automate infrastructure provisioning and configuration management.
• Monitor cloud environments and troubleshoot performance issues.
• Implement cloud security, IAM policies, and access controls.
• Optimize AWS infrastructure for performance, availability, and cost.
• Collaborate with development, security, and operations teams.
• Support production deployments, incident management, and disaster recovery.

Skills

AWS

Terraform/AWS CloudFormation

CI/CD tools

Docker & Kubernetes

Scripting (Python/Bash)

Linux & Networking

Monitoring & Logging

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Summary

We are looking for an experienced AWS Cloud DevOps Engineer to design, implement, and maintain scalable cloud infrastructure and automated CI/CD pipelines. The ideal candidate should have strong expertise in AWS services, Infrastructure as Code, containerization, cloud automation, and deployment management.

Key Responsibilities

• Design, deploy, and manage cloud infrastructure using AWS services.
• Build and maintain CI/CD pipelines for automated application deployment.
• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Manage containerized applications using Docker and Kubernetes.
• Automate infrastructure provisioning and configuration management.
• Monitor cloud environments and troubleshoot performance issues.
• Implement cloud security, IAM policies, and access controls.
• Optimize AWS infrastructure for performance, availability, and cost.
• Collaborate with development, security, and operations teams.
• Support production deployments, incident management, and disaster recovery.

Required Skills

• 5+ years of experience in Cloud DevOps or Infrastructure Engineering.
• Strong hands‑on experience with AWS services (EC2, S3, VPC, IAM, RDS, Lambda, CloudWatch).
• Experience with Terraform or AWS CloudFormation.
• Strong knowledge of CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
• Hands‑on experience with Docker and Kubernetes (EKS).
• Proficiency in Python, Bash, or Shell scripting.
• Experience with Linux administration and networking.
• Knowledge of monitoring and logging tools such as CloudWatch, Prometheus, and Grafana.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.