Enterprise Observability & AIOps Architect

Role : Enterprise Observability & AIOps Architect (App + Infra)
Client: Exeter

Location: Dallas, Texas, USA (Hybrid / Remote flexibility Dallas preferred)
Designation: Principal Architect
Experience: 15+ Years (open to highly experienced profiles up to 25 years)

Role Overview

We are looking for an experienced Enterprise Observability & AIOps Architect to design, modernize, and lead enterprise-scale observability ecosystems spanning applications, infrastructure, cloud platforms, databases, and operational workflows.

The ideal candidate will combine strategic architectural leadership with strong hands-on expertise in modern observability and AIOps platforms, driving operational excellence and AI-driven transformation across large enterprise environments.

Key Responsibilities

Enterprise Observability Architecture

• Lead enterprise-wide observability assessments across applications, infrastructure, cloud, and databases
• Define current-state and target-state architectures
• Drive monitoring rationalization and tool consolidation strategies
• Establish standards for telemetry, tagging, service identity, alerting, and dashboards
• Define scalable operating models aligned with SRE, ITSM, and platform engineering

Application Observability

• Architect solutions for:
• APM, distributed tracing, logs & metrics, RUM, synthetic monitoring
• Define SLI/SLO-driven monitoring strategies
• Improve service visibility, dependency mapping, and telemetry quality
• Build observability for microservices, APIs, Kubernetes, Azure-native & legacy systems

Infrastructure & Platform Observability

• Design observability across cloud, middleware, databases, and batch systems
• Analyze alert duplication, routing inefficiencies, and monitoring overlaps
• Define event correlation, severity models, enrichment, and ownership frameworks

AIOps & Intelligent Operations

• Design and implement:
• Event correlation & noise reduction
• Intelligent alert prioritization
• Anomaly detection & predictive insights
• Root cause analysis & contextualization
• Enable AI-driven workflows for:
• Incident reduction
• MTTR optimization
• Automated remediation

ITSM & Operational Integration

• Integrate observability tools with ServiceNow, CMDB, and incident workflows
• Define monitoring-to-incident processes and governance frameworks
• Establish KPI-driven operational maturity models

Governance & Blueprinting

• Develop enterprise standards, onboarding blueprints, and playbooks
• Define reusable observability patterns and reference architectures
• Establish Day-1 observability models for new services

Required Experience

• 15+ years in observability, SRE, platform engineering, AIOps, or production operations
• Proven experience in enterprise observability transformation and monitoring rationalization
• Strong background in hybrid cloud and distributed systems
• Experience working with executives, enterprise architects, and platform teams
• Deep understanding of incident management and reliability engineering

Technical Expertise

Observability Tools (Must-Have)

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

Preferred Tools

• Splunk, ELK / OpenSearch
• Prometheus / Grafana
• Datadog, New Relic
• BigPanda, PagerDuty

Core Skills

• Event correlation & alert engineering
• Distributed tracing & topology mapping
• AIOps & intelligent operations
• Cloud telemetry & monitoring
• Kubernetes & microservices observability
• ITSM (ServiceNow) integration
• SRE principles & operational governance

Cloud & Platform

• Azure, AWS
• Kubernetes & container platforms
• APIs & integrations
• Middleware & distributed systems

Mandatory Skills

• Enterprise Observability Architecture
• OpenTelemetry framework design
• APM & cloud monitoring expertise
• ITSM integration & event correlation
• AIOps & anomaly detection
• Kubernetes & microservices monitoring
• Alert optimization & noise reduction
• SLI/SLO framework design
• Integration architecture & governance