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# DevOps Engineer

- **Company:** Raas Infotek LLC
- **Location:** Dallas, TX, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Build Automation, Automation of Tests, Cloud Computing, Configuration Management, Code Generation, Continuous Integration, Cursor, DevOps, Github, Identity and Access Management, Scrum Methodology, Release Management, Software Tools, Cloud Services, Amazon Simple Notification Service (SNS), AWS Cdk, Scripting, GitHub Copilot, Delivery Pipeline, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Servicebus, Containerization, Infrastructure Automation Frameworks, Deployment Automation, Claude, Functional Programming, Cloudwatch, Api Gateway, Amazon Simple Queue Service (SQS)
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/a1b6a2ba-4aab-4e0a-b564-faeaafdc895d

## About the Role

We are seeking an experienced AWS DevOps Engineer to design, automate, and manage cloud infrastructure and software delivery pipelines. The ideal candidate will have expertise in AWS, GitHub Actions, AWS CDK, Infrastructure as Code, and automated testing, along with hands-on experience leveraging AI-assisted development tools to improve engineering productivity, automation, and delivery speed., * AWS Cloud & Infrastructure

 * AWS services including Lambda, EC2, S3, IAM, CloudWatch, VPC, API Gateway, EventBridge, SNS/SQS.
 * Experience designing secure, scalable, and highly available cloud solutions.
 * Infrastructure as Code
 * Strong hands-on experience with AWS CDK.
 * Infrastructure provisioning, configuration management, and environment automation.
 * CI/CD & Automation
 * GitHub Actions.
 * Enterprise GitHub Actions pipelines.
 * Automated build, deployment, and release management.
 * CI/CD pipeline optimization and troubleshooting.

AI-Assisted DevOps (Mandatory)

Hands-on experience with GitHub Copilot, Claude, Cursor, or similar AI-powered engineering tools.

Ability to leverage AI for:

 * CI/CD pipeline development and optimization
 * Infrastructure automation and scripting
 * Troubleshooting and root cause analysis
 * Test automation generation
 * Documentation and operational runbooks
 * Experience working in an AI-first engineering environment where AI is used to improve productivity, quality, and deployment speed.
 * Understanding of governance, validation, and security considerations when using AI-generated code and scripts.

What We Are Looking For

 * Strong automation-first mindset.
 * Excellent troubleshooting and problem-solving skills.
 * Proven experience in a real Agile/Scrum environment.
 * Passion for cloud-native technologies, DevOps automation, and AI-assisted engineering.
 * Ability to drive reliable, secure, and scalable software delivery.

## Description

* Design, build, and maintain scalable and secure AWS cloud infrastructure.
 * Develop and manage CI/CD pipelines using GitHub Actions within the client's enterprise GitHub environment.
 * Implement Infrastructure as Code (IaC) using AWS CDK.
 * Automate build, test, deployment, and release processes.
 * Develop and maintain automated test harnesses and quality gates.
 * Monitor, troubleshoot, and optimize cloud infrastructure and deployment pipelines.
 * Collaborate with engineering teams to improve reliability, security, and delivery velocity.
 * Leverage AI tools to accelerate automation, troubleshooting, scripting, and platform engineering activities.