Hybrid AI Operations Engineer — Proactive IT Automation

Placements24; Stellenbosch; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Placements24 is seeking an experienced AI Operations (AIOps) Engineer to enhance monitoring, automation, and performance management of IT infrastructure and applications. This hybrid role combines work from home with the Paarl office to enable proactive problem-solving and intelligent automation across services.

You will develop ML models for anomaly detection, automate operational tasks, and collaborate across teams to improve system reliability and efficiency.

Qualifications

• Bachelor's degree in Computer Science, IT, or a related field.
• 3+ years of experience in IT operations, DevOps, or SRE roles.
• Experience with AIOps tools and platforms (Dynatrace, Datadog, Splunk ITSI).
• Strong understanding of machine learning concepts and their application in IT operations.
• Proficiency in scripting languages like Python, Bash, or PowerShell.
• Experience with cloud environments (AWS, Azure, GCP) and containerization technologies.

Responsibilities

• Implement and manage AIOps platforms and tools for IT infrastructure monitoring and analytics.
• Develop and deploy machine learning models for anomaly detection, predictive maintenance, and root cause analysis.
• Automate IT operational tasks and workflows using scripting and orchestration tools.
• Analyze system performance data to identify bottlenecks and areas for optimization.
• Collaborate with infrastructure, development, and security teams to resolve operational incidents.
• Create dashboards and reports to provide visibility into system health and performance metrics.

Skills

Python scripting

Bash scripting

PowerShell scripting

SRE concepts

DevOps practices

Education

Bachelor's degree in Computer Science/IT/related field

Tools

Dynatrace

Datadog

Splunk ITSI

AWS

Azure

GCP

Docker

Kubernetes

Job description

Placements24 is seeking an experienced AI Operations (AIOps) Engineer to enhance monitoring, automation, and performance management of IT infrastructure and applications. This hybrid role combines work from home with the Paarl office to enable proactive problem-solving and intelligent automation across services.

You will develop ML models for anomaly detection, automate operational tasks, and collaborate across teams to improve system reliability and efficiency.