Senior AWS DevOps Engineer - Kubernetes & Terraform Expert

Artmac Soft LLC

Plano (TX)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Artmac Soft is seeking a Senior AWS DevOps Engineer to join our Plano, Texas team. You will help design, build, and operate scalable cloud infrastructure and containerized applications across AWS and related platforms.

The role requires 8+ years in DevOps/SRE/Cloud roles, strong Docker/Kubernetes, Terraform, and CI/CD expertise, plus Linux admin skills. This on-site position offers opportunities to improve reliability, automation, and system performance.

Qualifications

Bachelor's degree or equivalent combination of education and experience.
8+ years of experience in DevOps or related roles.
CKA, Azure/AWS DevOps Certifications Preferred.

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.