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# AIOps Engineer

- **Company:** VDart, Inc.
- **Location:** Alpharetta, GA, United States
- **Experience:** Expert
- **Salary:** $83,200.0 - $104,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Computer Networks, Linux, DevOps, Domain Name System (DNS), Elasticsearch, Monitoring of Systems, Hypertext Transfer Protocols (HTTP), Information Technology Operations, Python (Programming Language), Machine Learning, Windows PowerShell, Reliability Engineering, Ansible, Prometheus, TCP/IP, Datadog, Google Cloud, Load Balancing, Grafana, Reliability of Systems, Infrastructure as Code (IaC), Git, Containerization, Kubernetes, Information Technology, Terraform, Splunk, Dynatrace, Docker
- **Published:** July 18, 2026
- **Apply:** https://www.careerjet.com/jobad/us1cd98a35979b73f08c24f6efcc6ccf6e

## About the Role

* Bachelor's degree in Computer Science, Information Technology, or a related field.
 * 3 7 years of experience in IT Operations, DevOps, Site Reliability Engineering (SRE), or Cloud Engineering.
 * Strong knowledge of Linux and Windows administration.
 * Proficiency in Python, Bash, or PowerShell scripting.
 * Experience with Docker and Kubernetes.
 * Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
 * Experience with monitoring tools such as Prometheus, Grafana, Datadog, Splunk, Dynatrace, or Elastic Stack.
 * Understanding of networking concepts including TCP/IP, DNS, HTTP, and load balancing.
 * Familiarity with CI/CD pipelines and Git.
 * Knowledge of AI/ML concepts, anomaly detection, and predictive analytics is preferred.

## Description

We are seeking a skilled AI Ops Engineer to design, implement, and maintain AI-driven IT operations solutions. The ideal candidate will leverage automation, machine learning, and observability platforms to improve system reliability, reduce incident resolution time, and optimize infrastructure performance across cloud and on-premises environments., * Design, implement, and manage AI-powered monitoring and observability solutions.

 * Develop automation scripts and workflows to streamline IT operations.
 * Monitor application, server, and network performance using modern observability tools.
 * Identify anomalies, predict system failures, and recommend proactive solutions.
 * Perform root cause analysis (RCA) for production incidents and implement preventive measures.
 * Build and maintain dashboards, alerts, and reporting systems.
 * Collaborate with DevOps, Cloud, Security, and Development teams to improve system reliability.
 * Implement Infrastructure as Code (IaC) using tools such as Terraform or Ansible.
 * Support Kubernetes and containerized workloads.
 * Optimize cloud infrastructure across AWS, Azure, or Google Cloud Platform.
 * Maintain operational documentation and standard operating procedures.
 * Drive continuous improvement through automation and AI-based operational insights., Join a dynamic team as a PhD Engineer specializing in Electrical, Mechanical, or Chemical disciplines, where your expertise will contribute to a high-impact customer project. This …, As a .NET Engineer, you will play a crucial role in shaping the future of AI systems by providing high-quality, real-world input that influences how models learn, reason, and perfo…
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