Date: Jun 23, 2026
Job Requisition Id: 65136
Location:
Pune, IN
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YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire IT Operations Management (ITOM) Professionals in the following areas :
Years of Experience - 4 to 6 years
Job Profile – AIOps / Observability Engineer
Role Title
AIOps & Observability Engineer (Event Management & Intelligent Monitoring)
Role Summary
We are looking for a highly skilled AIOps & Observability Engineer to drive the next evolution of enterprise monitoring by integrating infrastructure observability, ServiceNow Event Management, and AI-driven analytics.
This role focuses on reducing alert noise, predicting outages, correlating events across tools, and enabling intelligent incident management using modern monitoring platforms (SCOM, AppDynamics, Datadog, New Relic) and AI/ML capabilities.
The ideal candidate will bring a holistic understanding of infrastructure, monitoring ecosystems, integrations, and AI-driven operations (AIOps).
Key Responsibilities
1. Observability & Monitoring Integration
Integrate multiple monitoring tools:
SCOM / AppDynamics / Datadog / New Relic/ Zabbix/ AWS CloudWatch etc.
Standardize and normalize alert data across tools
Build unified event pipelines into ServiceNow / data platforms
2. Event Management & Noise Reduction
Implement event correlation, deduplication, and suppression strategies
Reduce alert noise using:
Rule-based logic
Pattern-based clustering
Improve signal-to-noise ratio across monitoring ecosystem
3. AIOps & Predictive Analytics
Apply ML/AI techniques for:
Anomaly detection
Event correlation
Root cause analysis
Outage prediction
Explore LLMs / AI models to enhance operational insights
Build intelligent alerting mechanisms based on historical patterns
4. ServiceNow & ITOM Integration
Implement and enhance ServiceNow Event Management & ITOM modules
Enable:
Auto incident creation
Alert enrichment using CMDB
Automated remediation workflows
Integrate external monitoring tools with ServiceNow
5. Data & Search Platforms
Use tools like OpenSearch / Elastic for:
Log aggregation
Event analytics
Pattern detection
Build dashboards and insights for operations teams
6. Infrastructure & Cloud Awareness
Understand infrastructure dependencies:
Servers, networks, applications
Work with:
AWS / Azure environments (good to have)
Kubernetes / containerized workloads
7. Automation & Innovation
Automate repetitive operational tasks
Continuously improve monitoring efficiency
Drive adoption of AI-driven operations
Required Skills
Core Skills
Strong understanding of monitoring & observability concepts
Hands-on with at least 2 tools:
Preferred - SCOM / AppDynamics / Datadog / New Relic/ Zabbix/ AWS CloudWatch etc.
Experience with event management & alert handling
Strong integration experience (APIs, REST, data pipelines)
ServiceNow & ITOM
Experience with:
ServiceNow Event Management
ITOM (preferred but not mandatory)
Understanding of CMDB and CI relationships
Data & AIOps
Basic to intermediate knowledge of:
AI/ML concepts (anomaly detection, clustering, prediction)
Exposure to:
OpenSearch / Elasticsearch
Infrastructure
Understanding of:
Linux / Windows servers
Networking basics
Application architectures
Good to Have
AWS / Azure exposure
Kubernetes knowledge
Experience with AIOps platforms
Exposure to LLM / GenAI use cases in operations
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
Flexible work arrangements, Free spirit, and emotional positivity
Agile self-determination, trust, transparency, and open collaboration
All Support needed for the realization of business goals,
Stable employment with a great atmosphere and ethical corporate culture
