Senior AWS DevOps Engineer

Who we are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.

Job Description:

Job Title : Senior AWS DevOps Engineer

Job Type : W2/C2C

Experience : 8-15 years

Location : Plano, Texas

Responsibilities:

• 8+ years of experience in DevOps, Site Reliability Engineering, Cloud Engineering, Platform Engineering, or related roles.
• Strong hands-on experience with Docker and Kubernetes.
• Strong experience with Terraform and Infrastructure as Code.
• Expertise in CI/CD technologies such as Jenkins, GitHub Actions, and/or Azure DevOps.
• Strong Linux administration and troubleshooting skills.
• Experience with cloud platforms such as AWS, Azure, and/or GCP.
• Strong understanding of Kubernetes architecture and container orchestration.
• Experience with observability, monitoring, logging, alerting, and performance management.
• Strong understanding of networking, security, scalability, high availability, and disaster recovery concepts.
• Experience with Git-based source control and DevOps workflows.
• Strong scripting and automation skills using Python, Bash, PowerShell, or similar technologies.
• CKA, Azure/AWS DevOps Certifications Preferred.
• Design, implement, and maintain highly available and scalable infrastructure and application platforms.
• Build and manage containerized applications using Docker and Kubernetes.
• Develop and maintain infrastructure as code using Terraform.
• Design, implement, and optimize CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
• Automate infrastructure provisioning, configuration, deployments, and operational processes.
• Manage and troubleshoot Linux-based systems, servers, containers, and production environments.
• Implement Kubernetes deployments, services, ingress, configuration, secrets, scaling, and cluster operations.
• Establish and maintain monitoring, logging, alerting, and observability solutions.
• Define and improve SLIs, SLOs, and SLAs to measure and enhance system reliability.
• Monitor system performance, availability, capacity, and resource utilization.
• Participate in incident response, root-cause analysis, and production troubleshooting.