Observability Principal Architect

Enterprise Observability & AIOps Architect

(Application + Infrastructure + Platform + ITSM/AIOps)

Role Overview

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.

Key Responsibilities

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.

Required Experience

·        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.