Enterprise Observability & AIOps Architect

Enterprise Observability Architecture

· Lead enterprise-wide observability assessments across applications, infrastructure, cloud, databases, and operational workflows.

· Define current-state and target-state observability architecture.

· Develop monitoring rationalization and consolidation strategies across enterprise toolsets.

· Establish standards for telemetry, tagging, service identity, alerting, dashboards, and governance.

· Define scalable operating models aligned to SRE, ITSM, and platform engineering practices.

Application Observability

· Architect observability solutions across:

APM | Distributed tracing | Logs & metrics | RUM & synthetics

· Define SLI/SLO-driven monitoring and alerting strategies.

· Improve service dependency visibility, transaction tracing, and telemetry quality.

· Design monitoring patterns for microservices, APIs, Kubernetes, Azure-native, and legacy applications.

Infrastructure & Platform Observability

· Design observability solutions for cloud infrastructure, middleware, databases, platform services, and batch ecosystems.

· Assess alert quality, duplication, routing inefficiencies, and monitoring overlaps.

· Define event correlation, severity models, enrichment standards, and operational ownership structures.

AIOps & Intelligent Operations

· Design AIOps capabilities including:

o Event correlation

o Noise reduction

o Intelligent alert prioritization

o Anomaly detection

o Predictive insights

o Root-cause contextualization

· Define AI-assisted operational workflows for incident reduction, MTTR optimization, and automated remediation.

ITSM & Operational Integration

· Integrate observability platforms with ServiceNow, incident workflows, CMDB, and collaboration tools.

· Define monitoring-to-incident operational workflows and governance standards.

· Establish KPI-driven operational maturity frameworks.

Governance & Blueprinting

· Develop enterprise standards, onboarding blueprints, engineering playbooks, and reusable observability patterns.

· Create reference architectures, dashboard standards, and operational governance frameworks.

· Define "Day-1 Observability" onboarding models for new services.

We are seeking a highly experienced Enterprise Observability & AIOps Architect with 15+ years of experience in designing and modernizing enterprise-scale observability ecosystems across applications, infrastructure, cloud platforms, databases, integrations, and operational workflows.

The ideal candidate should possess strong expertise in:

· AIOps & Event Correlation

· ITSM Integration

· Telemetry Governance

· SRE & Operational Excellence

· Enterprise Monitoring Rationalization

· AI-driven Operational Transformation

This role requires both strategic architecture leadership and strong hands-on expertise across modern observability and AIOps platforms in large enterprise environments., · 15+ years of experience in observability, infrastructure, SRE, production operations, platform engineering, or AIOps architecture.

· Strong experience in enterprise-scale hybrid cloud and distributed environments.

· Proven experience leading observability transformation and monitoring rationalization initiatives.

· Experience working with executive leadership, enterprise architects, platform teams, and operations organizations.

· Strong understanding of enterprise operational workflows, incident management, and reliability engineering.

Required Technical Expertise

Observability Platforms

Strong hands-on expertise in:

Dynatrace | Azure Monitor | Azure Application Insights | Azure Log Analytics | LogicMonitor | ManageEngine

Preferred:

Splunk | ELK/OpenSearch | PrometheGrafana | Datadog | New Relic | BigPanda | PagerDuty

Core Skills

· Event correlation & alert engineering

· Distributed tracing & topology mapping

· AIOps & intelligent operations

· Cloud monitoring & telemetry

· Kubernetes & microservices observability

· ITIL / ITSM integration

· SRE principles & operational governance

Cloud & Platform Experience

Azure | AWS | Kubernetes | APIs & integrations | Middleware & distributed systems

Preferred Qualifications

· Experience defining enterprise observability standards and governance models.

· Experience with operational transformation initiatives involving AI/AIOps.

· Strong workshop facilitation, stakeholder management, and executive presentation skills.

· Certifications in Cloud, Observability, ITIL, SRE, or AIOps preferred.

Success Criteria

· Establish a unified enterprise observability architecture.

· Reduce alert noise and operational inefficiencies.

· Improve telemetry quality, service visibility, and incident response.

· Enable scalable AIOps-driven operational workflows.

· Deliver standardized onboarding, governance, and engineering blueprints.

· Improve operational maturity, reliability, and service resilience.