Enterprise Observability & AIOps Architect (App + Infra)

Position : Enterprise Observability & AIOps Architect (App + Infra)
Location: Dallas, Texas, USA (Hybrid / Remote flexibility – Dallas preferred)
Designation: Principal Architect
Experience: 15+ Years (open to highly experienced profiles up to 25 years)
Duration: 1 Year (with possible extension)

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