Software Engineer -AI Observability Principal Architect

18+ years experience in IT Operations / SRE / Observability / Platform Engineering
Strong expertise in:
Observability (logs, metrics, traces, distributed tracing)
SRE practices (SLIs, SLOs, error budgets)
Incident management and automation
Experience in AIOps / Event Management:
Event correlation, alert deduplication, noise reduction
Hands-on experience with observability platforms and ITSM integrations
Strong understanding of:
Distributed systems and cloud environments
Telemetry pipelines and data integration
Experience in designing automation workflows, runbooks, and self-healing mechanisms
Strong stakeholder management and ability to work across application, infra, and operations teams

Responsibilities

18+ years experience in IT Operations / SRE / Observability / Platform Engineering
Strong expertise in:
Observability (logs, metrics, traces, distributed tracing)
SRE practices (SLIs, SLOs, error budgets)
Incident management and automation
Experience in AIOps / Event Management:
Event correlation, alert deduplication, noise reduction
Hands-on experience with observability platforms and ITSM integrations
Strong understanding of:
Distributed systems and cloud environments
Telemetry pipelines and data integration
Experience in designing automation workflows, runbooks, and self-healing mechanisms
Strong stakeholder management and ability to work across application, infra, and operations teams
Nice to Have

Experience with Azure observability stack / Open Telemetry
Experience with ServiceNow ITOM / AIOps
Exposure to AI-driven observability (anomaly detection, predictive analytics)
Experience in building executive dashboards and reporting frameworks
Please find below summary of calibration call:

Principle Architect - 18+years of experience(Contract to hire role)

Mandatory Skills : Azure, observability, SRE, incident Management, Automation, Event Correlation Designing and Architecture

Good to have - .NET, Python, angular, ansible