AWS Dev Ops

Greetings from GYPRC!

We are hiring an experienced AWS DevOps Engineer to join our team in Atlanta, GA. The ideal candidate will have strong expertise in AWS cloud infrastructure, CI/CD automation, Infrastructure as Code, and AI-assisted engineering tools.

Location: Atlanta, GA
Work Mode: Onsite – 5 Days a Week
Pay Rate: $70/hr

Job Description

We are seeking a skilled AWS DevOps Engineer to design, automate, and manage scalable and secure cloud infrastructure and software delivery pipelines. The candidate will be responsible for optimizing deployment processes, implementing Infrastructure as Code, and leveraging AI-powered development tools to improve engineering productivity and operational efficiency.

Key Responsibilities

• Design, build, and maintain secure, scalable, and highly available AWS infrastructure.

• Develop and manage CI/CD pipelines using GitHub Actions.

• Implement Infrastructure as Code (IaC) using AWS CDK.

• Automate build, testing, deployment, and release processes.

• Develop and maintain automated test frameworks and quality gates.

• Monitor cloud infrastructure, troubleshoot issues, and perform root cause analysis.

• Utilize AI-assisted tools to improve scripting, automation, testing, and troubleshooting.

• Ensure security, governance, and validation of AI-generated code and scripts.

• Collaborate with engineering teams in an Agile/Scrum environment to improve reliability and delivery speed.

Required Skills

• Strong hands-on experience with AWS cloud services, including EC2, S3, Lambda, IAM, VPC, CloudWatch, API Gateway, EventBridge, SNS, and SQS.

• Hands-on experience with AWS CDK and Infrastructure as Code.

• Strong experience with GitHub Actions and enterprise CI/CD pipelines.

• Practical experience with AI-powered engineering tools such as GitHub Copilot, Claude, or Cursor.

• Experience with automated testing, scripting, deployment automation, and troubleshooting.

• Knowledge of cloud security, governance, and DevOps best practices.

• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience optimizing CI/CD pipelines and cloud infrastructure.

• Experience implementing automated quality checks and secure deployment workflows.

• Familiarity with AI-first engineering practices and cloud-native architectures.

Interested candidates are encouraged to apply with their updated resume.