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# Senior SRE / DevOps Engineer

- **Company:** eTeam Inc
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Cloud Computing, DevOps, Identity and Access Management, Python (Programming Language), Reliability Engineering, Scripting, Large Language Models, Grafana, Reliability of Systems, Amazon Relational Database Service, Containerization, Kubernetes, Infrastructure Automation Frameworks, Terraform, Splunk, Dynatrace, Devsecops, Docker
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/41201bda-7a8d-431c-93bf-811eb1bb965d/senior-sre-devops-engineer

## About the Role

We are looking for a Senior SRE/DevOps Engineer with 10 years of experience in cloud infrastructure, site reliability, DevOps, and container platforms.

The candidate should have strong hands-on experience with AWS, Kubernetes, Docker, Terraform, observability tools, scripting, and incident management., * 10 years of SRE/DevOps experience.

 * Strong AWS experience.
 * ECS, EKS, EC2, Lambda, RDS, S3, IAM.
 * Kubernetes and Docker.
 * Terraform.
 * Dynatrace, Splunk, Grafana.
 * Python and Bash scripting.
 * AI tooling and LLM knowledge.
 * Incident management.
 * SLO/SLI governance.
 * Strong troubleshooting and communication skills.

## Description

* Design, deploy, and support cloud infrastructure using AWS.
 * Work with AWS services including ECS, EKS, EC2, Lambda, RDS, S3, and IAM.
 * Manage containerized applications using Docker and Kubernetes/EKS/ECS.
 * Automate infrastructure using Terraform.
 * Monitor applications and infrastructure using Dynatrace, Splunk, and Grafana.
 * Develop automation scripts using Python and Bash.
 * Support production environments and participate in incident management and troubleshooting.
 * Define and monitor SLOs and SLIs to improve system reliability.
 * Apply DevOps, DevSecOps, and Site Reliability Engineering best practices.
 * Work with AI tools and LLM technologies to improve automation and operational efficiency.
 * Collaborate with development, security, infrastructure, and operations teams.