Hybrid Ai Operations Engineer — Proactive It Automation

Placements24; Stellenbosch; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Job summary

Placements24 in South Africa invites an experienced AI Operations (AIOps) Engineer to enhance monitoring, automation, and performance management of IT infrastructure and applications. This hybrid role lets you work from home and at the Paarl office, applying AI/ML to proactively identify, predict, and resolve operational issues to improve reliability.

You will collaborate with infrastructure, development, and security teams, develop dashboards, and implement anomaly detection and predictive

Qualifications

• Bachelor's degree in Computer Science, IT, or related field.
• 3+ years of IT operations, DevOps, or SRE experience.
• Proven experience with AIOps tools and platforms (Dynatrace, Datadog, Splunk ITSI).
• Strong understanding of machine learning concepts and their IT operations applications.
• Proficiency in Python, Bash, or PowerShell scripting.
• Experience with 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 optimization opportunities.
• 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

Machine learning concepts in IT ops

DevOps / SRE practices

Education

Bachelor's degree in Computer Science, IT or related field

Tools

Dynatrace

Datadog

Splunk ITSI

Python

Bash

PowerShell

Job description

About the Role

Our client is looking for an experienced AI Operations (AIOps) Engineer to enhance the monitoring, automation, and performance management of their IT infrastructure and applications. This hybrid role involves working from both home and our Paarl office. You will leverage AI and machine learning techniques to proactively identify, predict, and resolve operational issues, thereby improving system reliability and efficiency. This position is key to ensuring the smooth operation of our client's digital services through intelligent automation and proactive problem-solving, working within a team dedicated to operational excellence.

Key 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.

Requirements

• Bachelor's degree in Computer Science, IT, or a related field.
• 3+ years of experience in IT operations, DevOps, or SRE roles.
• Proven experience with AIOps tools and platforms (e.g., 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.

Benefits

• Competitive salary and performance incentives.
• Comprehensive health and retirement benefits.
• Hybrid work model offering flexibility.
• Opportunities for training and certification in AIOps technologies.
• Work on challenging projects to improve system reliability and performance.
• A collaborative team environment focused on innovation and continuous improvement.