Role Overview The client is seeking a highly experienced SRE & Observability Engineer to lead the assessment, design, and architecture of a next-generation observability platform across a multi-cloud ecosystem.

This individual will act as a trusted advisor to Cloud Operations, Application, Platform Engineering, Security, and Architecture teams.

The successful candidate will conduct a comprehensive review of the client's cloud landscape spanning Microsoft Azure, AWS, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI), identify monitoring gaps, and develop a strategic observability roadmap aligned with operational excellence and Site Reliability Engineering (SRE) principles.

The consultant will define the target-state architecture, operating model, standards, tooling strategy, alerting framework, SLO/SLI methodology, AIOps capabilities, and implementation roadmap required to establish a scalable enterprise observability practice.

Key Objectives & Responsibilities 1.

Discovery & Assessment Perform a comprehensive assessment of the client's cloud footprint across Azure, AWS, GCP, and OCI.

Inventory existing monitoring, logging, tracing, and operational tooling.

Evaluate current observability maturity, coverage levels, operational processes, and monitoring effectiveness.

Identify blind spots, tool duplication, alert fatigue drivers, and operational inefficiencies.

Review current incident management, escalation, and service restoration workflows. 2.





Observability Strategy Define an enterprise-wide observability vision and strategy.

Establish observability standards, governance, and architectural principles.

Recommend tooling strategy and vendor rationalization where appropriate.

Create a multi-year roadmap with prioritized implementation phases. 3.

Architecture & Design Design a centralized enterprise observability architecture.

Define standards for: Metrics collection Distributed tracing Log aggregation Synthetic monitoring Infrastructure monitoring Application Performance Monitoring (APM) Network observability Cloud-native service monitoring Define observability patterns for: Kubernetes Containers Serverless workloads Databases API platforms 4. SRE & Reliability Engineering Define Service Level Indicators (SLIs).

Establish Service Level Objectives (SLOs).

Recommend proactive monitoring and resilience patterns.

Design strategies to reduce Mean Time to Recovery (MTTR) and improve operational reliability. 5. AIOps & Automation Assess opportunities for intelligent observability and AIOps.

Design event correlation and noise reduction strategies.

Recommend automated root-cause analysis capabilities.

Define predictive monitoring and capacity forecasting approaches.

Create an automation roadmap for incident detection and remediation. 6.

Executive Deliverables Produce the following deliverables: Current-state assessment Gap analysis report Target-state architecture Implementation roadmap Executive presenta

📌 SRE & Observability Engineer (Toronto)
🏢 VDart
📍 Toronto