Job Details :

- Experience : 10 to 15 years

- Location : BLR

- Shift : 2 to 10.30pm

- Notice : Immediate joiner

- Work Mode : Hybrid 3 Days from office

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, and 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 :

1. 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.

2. Application Observability :

- Architect observability solutions across APM, Distributed tracing, Logs & metrics, and 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.

3. 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.

4. AIOps & Intelligent Operations :

- Design AIOps capabilities including event correlation, noise reduction, intelligent alert prioritization, anomaly detection, predictive insights, and root-cause contextualization.

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

5. 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.

6. 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 :

1. Observability Platforms :

- Strong hands-on expertise in : Dynatrace, Azure Monitor, Azure Application Insights, Azure Log Analytics, LogicMonitor, ManageEngine.

- Preferred : Splunk, ELK/OpenSearch, Prometheus/Grafana, Datadog, New Relic, BigPanda, PagerDuty.

2. 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.

3. 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.