Moogsoft AIOps Engineer
Wipro · Chennai
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Job Description
Role Purpose
The purpose of this role is to design solution architecture for cross-system interactions and business logic integration, ensuring seamless interoperability across multiple applications.
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Title:Moogsoft AIOps Engineer
Total years of experience: 7years to 17years of experience
Location:Anywhere in India
Platform Management:
Deploy, configure, and maintain Moogsoft AIOps (On-prem / Moogsoft Cloud)
Customize event ingestion, normalization, and enrichment pipelines
Configure alert correlation, clustering, and noise reduction policies
Perform Moogsoft upgrades, patches, and performance tuning
Integrate Moogsoft with monitoring tools such as:
Splunk, Dynatrace, AppDynamics, Prometheus, Nagios, etc.
Work with REST APIs, webhooks, and data pipelines
Implement automation using:
Python / Shell scripting
ITSM tools (ServiceNow, BMC Remedy, Jira, etc.)
Build event workflows for incident creation and auto-remediation
Event & Incident Management
Configure:
Alerts → Situations → Incidents lifecycle
Design correlation rules, similarity algorithms, and noise suppression
Monitor real-time events and improve MTTR (Mean Time to Resolution)
Create dashboards and reports for operational insights
Data & AI Operations
Tune AI algorithms for better event deduplication and clustering
Analyze historical data to improve:
Alert quality
Incident prediction
Work with data sources like:
Logs, metrics, traces
Strong experience with:
Moogsoft AIOps (v9 / Cloud preferred)
Knowledge of:
Linux/Unix systems
JSON, REST APIs
SQL / NoSQL databases
Scripting:
Python, Shell, or JavaScript
Monitoring tools integration experience
AIOps / Monitoring Knowledge
Understanding of:
Event correlation
Alert noise reduction
Root cause analysis (RCA)
and strong knowledge of ITIL processes