Job Title: Principal Observability Architect
Job Summary
We are seeking a forward-thinking Monitoring & Observability Strategy & Transformation Lead to provide enterprise technical thought leadership and strategic direction for the evolution of our Monitoring & Observability capabilities.
This role will define the enterprise Monitoring & Observability strategy, establish the future-state vision and roadmap, and lead transformation initiatives that improve technology visibility, reliability, operational efficiency, and service quality.
The successful candidate will bring deep expertise in Monitoring & Observability combined with broad knowledge of infrastructure, cloud, applications, automation, IT operations, and emerging technologies. This role will influence technology strategy across the organization, establish enterprise standards and capabilities, evaluate emerging technologies, and translate innovation into practical, scalable solutions.
The position is technology- and platform-agnostic and is focused on the capabilities and outcomes of enterprise observability rather than ownership of any individual monitoring product.
Key Responsibilities
Monitoring & Observability Strategy & Thought Leadership
Serve as the enterprise technical thought leader for Monitoring & Observability.
Define enterprise vision, strategy, target-state architecture, roadmap, and transformation priorities.
Establish standards and principles for metrics, logs, traces, events, synthetics, application performance, infrastructure, network, database, and end-user observability.
Drive the evolution from traditional monitoring and alerting toward full-stack observability and operational intelligence.
Evangelize modern observability practices across infrastructure, application, cloud, security, and operations organizations.
Transformation & Modernization
Lead enterprise Monitoring & Observability transformation initiatives, including modernization, platform consolidation, tool rationalization, integration, automation, and adoption of emerging capabilities.
Develop and execute multi-year transformation roadmaps with measurable business and operational outcomes.
Identify opportunities to improve monitoring coverage, signal quality, operational efficiency, reliability, and cost.
Establish strategies for transitioning legacy monitoring capabilities to modern observability solutions.
Lead technology evaluations, proofs of concept, and strategic platform decisions.
Observability Engineering & Enablement
Establish an Observability Engineering and Enablement capability focused on standards, reusable patterns, automation, and self-service.
Define scalable approaches for onboarding applications, infrastructure, cloud platforms, and services.
Promote Observability as Code, Infrastructure as Code, APIs, CI/CD, and automation.
Establish enterprise standards for monitoring configuration, telemetry quality, alerting, dashboards, data retention, and lifecycle management.
Partner with engineering teams to embed observability into application and infrastructure delivery processes.
Event Intelligence, AIOps & Automation
Define the strategy for intelligent event management, including filtering, deduplication, enrichment, correlation, prioritization, and anomaly detection.
Evaluate and apply AI/AIOps capabilities to improve operational intelligence and efficiency.
Identify opportunities for predictive analytics, automated incident response, and automated remediation.
Drive the transition from reactive monitoring toward proactive, predictive, and increasingly automated operations.
Establish appropriate governance and human oversight for AI-enabled operations.
Reliability & Service Health
Apply SRE and reliability engineering principles to Monitoring & Observability.
Define approaches for SLIs, SLOs, service health indicators, and reliability metrics.
Establish end-to-end visibility across applications, infrastructure, cloud, networks, databases, and service dependencies.
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