AIOps Engineer

Vdart

Frisco, TX

Contract

Senior

13 days ago

Job Description

About the Role

The AIOps Engineer is responsible for integrating machine learning and advanced analytics into existing monitoring and logging systems. This role leverages artificial intelligence to automate routine operational tasks, detect anomalies proactively, and implement self-healing frameworks to enhance the stability and performance of the infrastructure. The ideal candidate will be proactive in identifying gaps, creating strategic roadmaps, and implementing phased improvements to achieve operational excellence.

Key Responsibilities

Integrate machine learning and advanced analytics into monitoring and logging systems.
Leverage artificial intelligence to automate routine operational tasks.
Detect anomalies proactively and implement self-healing frameworks.
Identify gaps in current systems, create strategic roadmaps, and implement phased improvements.
Enhance the stability and performance of infrastructure through automation and proactive monitoring.

Requirements

Strong experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).
Proficiency in data processing and analytics tools (e.g., Splunk, Prometheus, Grafana, ELK stack).
Solid background in scripting and automation (Python, Bash, Ansible, etc.).
Experience with cloud environments and infrastructure automation.
Proven track record in implementing proactive monitoring, anomaly detection, and self-healing techniques.
Excellent analytical, problem-solving, and strategic planning skills.
Strong communication skills and the ability to effectively collaborate across teams.

Nice to Have

Background in DevOps/Site Reliability Engineering.
Familiarity with containerization and orchestration platforms (Kubernetes, Docker).
Experience in building scalable, distributed systems.

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