AWS DevOps Engineer

VDart, Inc.

Dallas, TX, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$312,000.0

Working hours

Regular working hours

Job source

careerjet.com

Tech stack

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

+28 more

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

Job 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.
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Requirements

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.

Benefits & conditions

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