Senior AWS Cloud Engineer - Terraform, EKS & CI/CD

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an AWS Cloud Engineer to design, implement, and support scalable, secure AWS infrastructure in Dallas, TX. You will manage EC2, VPC, S3, RDS, IAM, CloudWatch, and Lambda, build CI/CD pipelines, and drive security and governance initiatives.

The role requires 10+ years in cloud engineering and deep hands-on AWS experience, plus Terraform, CloudFormation, Jenkins, GitHub Actions, Ansible, Docker, and Kubernetes.

Qualifications

• 10+ years of experience in cloud/infrastructure engineering.
• Strong hands-on experience with AWS Cloud.
• Expertise in AWS services: EC2, VPC, S3, RDS, IAM, CloudWatch, Lambda.
• Strong experience with Terraform and CloudFormation.
• Experience with Jenkins and GitHub Actions.
• Hands-on experience with Ansible.
• Experience with Docker and Kubernetes/EKS.
• Strong Linux and Windows administration experience.
• Knowledge of cloud networking, security, high availability, backup, and disaster recovery.
• Experience with monitoring, logging, alerting, and performance optimization.
• Understanding of cloud security, compliance, identity management, and governance.
• Experience supporting cloud migration and modernization initiatives.
• Strong troubleshooting and production support skills.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design, implement, and support scalable, secure, and highly available AWS cloud infrastructure.
• Manage AWS services including EC2, VPC, S3, RDS, IAM, CloudWatch, and Lambda.
• Develop Infrastructure as Code solutions using Terraform and CloudFormation.
• Build and maintain CI/CD pipelines using Jenkins and GitHub Actions.
• Implement configuration management and automation using Ansible.
• Manage containerized environments using Docker and Kubernetes/EKS.
• Implement monitoring, logging, alerting, and performance optimization using CloudWatch and enterprise observability tools.
• Drive cloud security, compliance, identity management, and governance best practices.
• Support cloud migration and modernization initiatives, including application and infrastructure transformation.
• Implement and maintain networking, security, high availability, backup, and disaster recovery solutions.
• Optimize AWS cloud spend through rightsizing, Reserved Instances, Savings Plans, and FinOps practices.
• Troubleshoot complex cloud infrastructure and application issues and provide production support.
• Collaborate with development, architecture, security, and operations teams to deliver cloud solutions.
• Communicate effectively with stakeholders and support operational and technical requirements.

Skills

AWS Cloud

EC2

VPC

S3

RDS

IAM

CloudWatch

Lambda

Terraform

CloudFormation

Jenkins

GitHub Actions

Ansible

Docker

Kubernetes

EKS

Linux

Windows

Networking

Security

Disaster Recovery

FinOps

Tools

Terraform

CloudFormation

Jenkins

GitHub Actions

Ansible

Docker

Kubernetes

EKS

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking an AWS Cloud Engineer to design, implement, and support scalable, secure AWS infrastructure in Dallas, TX. You will manage EC2, VPC, S3, RDS, IAM, CloudWatch, and Lambda, build CI/CD pipelines, and drive security and governance initiatives.

The role requires 10+ years in cloud engineering and deep hands-on AWS experience, plus Terraform, CloudFormation, Jenkins, GitHub Actions, Ansible, Docker, and Kubernetes.