AIOps Engineer

Are you ready to join the team of engineering experts at Kyndryl? We are seeking a talented Software Engineering Technical Specialist to contribute to our software engineering space and provide critical skills required for the development of cutting-edge products.  

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Responsibilities:

Observability Engineering:

• Architect, deploy, and optimize Splunk ITSI dashboards, KPIs, glass tables, and service maps.

• Continuously enhance visibility into the health and performance of applications and infrastructure.

•  Proactive Monitoring & Investigation:

• Leverage observability data to investigate system issues and anomalies in real-time.

• Identify root causes using advanced event correlation, log analysis, and telemetry patterns.

•  Predictive Analytics & ML Integration:

• Apply machine learning models to detect anomalies, forecast system behavior, and prevent outages.

• Collaborate with data teams to operationalize predictive analytics for IT incident management.

•  Service Mapping with ServiceNow:

• Maintain and automate the synchronization of Configuration Items (CIs) from ServiceNow to Splunk.

• Ensure accurate service correlation and dependency mapping across platforms.

Requirements:

• Degree in Computer Science, Engineering, Information Systems, or equivalent.
• Hands-on experience with Splunk ITSI or similar observability platforms.
• Strong knowledge of ServiceNow, including CMDB and CI relationships.
• Familiarity with machine learning for anomaly detection and predictive analytics.
• Proficient in scripting (Python, linux) for automation.
• Understanding of ITIL and modern IT operations practices.
• Analytical mindset with strong troubleshooting and investigation skills using observability data.