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# AWS DevOps Engineer

- **Company:** VDart, Inc.
- **Location:** Dallas, TX, United States
- **Salary:** $312,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Backup Devices, Bash Shell, Unix, Cloud Computing Security, Configuration Management, Continuous Integration, Linux, Disaster Recovery, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Scrum Methodology, Release Management, Shell Script, AI Infrastructure, Datadog, Data Logging, Scripting, System Availability, Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Amazon Relational Database Service, Gitlab-ci, Git Flow, Deployment Automation, Route53, Functional Programming, Cloudwatch, Terraform, Splunk, Software Version Control, Docker, Jenkins
- **Published:** June 4, 2026
- **Apply:** https://www.careerjet.com/jobad/us5d308cae12856dd766be0ff5f3a5b2b7

## About the Role

* Strong hands-on experience with AWS services such as EC2, S3, Lambda, IAM, RDS, VPC, CloudWatch, Route53, ECS/EKS.
 * Experience with Terraform or AWS CloudFormation.
 * Expertise in CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
 * Experience with Docker and Kubernetes.
 * Strong scripting skills in Bash, Python, or Shell scripting.
 * Knowledge of Linux/Unix administration.
 * Experience with monitoring and logging tools.
 * Familiarity with Agile/Scrum methodologies.

## Description

* Design, build, and manage scalable and secure infrastructure on AWS cloud platforms.
 * Develop and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
 * Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.
 * Manage containerized applications using Docker and Kubernetes/EKS.
 * Monitor system performance, availability, and security using CloudWatch, Splunk, Datadog, or similar tools.
 * Automate deployment, configuration management, and operational tasks.
 * Collaborate with development, QA, and infrastructure teams for release management and production support.
 * Ensure high availability, disaster recovery, backup, and security best practices.
 * Troubleshoot infrastructure and deployment issues across development, staging, and production environments.
 * Maintain version control and branching strategies using Git., As an AI/ML Engineer, you will play a crucial role in advancing mission-critical government initiatives while contributing to proprietary AI infrastructure. This position offers th…
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