At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.
We are seeking a Mid-Level Observability Engineer to help build, maintain, and enhance our enterprise monitoring and observability capabilities across cloud and hybrid environments. This role is hands-on and execution-focused, supporting Dynatrace and AWS Cloud Watch implementations, dashboard development, alert tuning, instrumentation, and operational reporting for critical platforms and applications. The ideal candidate will partner with Cloud Engineering, Dev Ops, SRE, and application teams to improve service visibility, strengthen monitoring coverage, and embed observability practices into ongoing operational and delivery workflows.
Observability Platform Ownership & Architecture
Design, deploy, and optimize enterprise-grade observability solutions using Dynatrace Saa S or Managed, including One Agent, Active Gate, full-stack monitoring, RUM, synthetic monitoring, Davis AI, distributed tracing, dashboards, and log monitoring on Grail.
Define platform standards for tagging, management zones, network segmentation, alerting profiles, access control, dashboards, and telemetry governance across hybrid environments.
Architect observability coverage across AWS and on-prem platforms, including containerized and serverless workloads such as EKS, ECS, Lambda, EC2, RDS, and API Gateway.
Lead migration from legacy monitoring tools into Dynatrace and drive closure of enterprise monitoring gaps through structured onboarding and platform modernization. 2.



Application Performance Management & Incident Triage
Configure and optimize APM instrumentation for distributed applications, APIs, microservices, databases, and business transactions.
Serve as the escalation point for complex incidents, using Smartscape, Distributed Traces, Davis AI, Live Debugger, and method-level diagnostics to accelerate root cause identification and reduce MTTR.
Define and maintain SLIs, SLOs, and error budgets, aligning platform telemetry to business reliability targets and engineering commitments
Lead post-incident reviews using observability evidence and drive corrective improvements in instrumentation, thresholds, dashboards, and alerting logic3. Telemetry Automation & Observability as Code
Standardize monitoring configurations using Terraform and/or Dynatrace Monaco, including alerting profiles, dashboards, SLOs, tagging rules, synthetic tests, and management zones
Build automation for platform operations, integration workflows, reporting, and remediation using Python, Bash, or Power Shell, along with REST APIs and webhooks.
5–10 years of experience in Observability, Monitoring Engineering, SRE, APM, Dev Ops, or Infrastructure Engineering, including several years of hands‑on Dynatrace administration and architecture.
Deep hands‑on expertise with Dynatrace across full-stack monitoring, Davis AI, Smartscape, RUM, synthetic monitoring, distributed tracing, Grail log monitoring,



DQL, management zones, Workflows/Automation Engine, and access governance.
Strong experience with AWS cloud services, especially Cloud Watch, EKS, ECS, Lambda, EC2, RDS, API Gateway, networking, and modern cloud architecture patterns.
Advanced knowledge of Kubernetes and cloud‑native observability patterns, including instrumentation for microservices and distributed systems.
Robust proficiency in observability‑as‑code using Terraform and/or Monaco, plus scripting in Python, Bash, or Power Shell
Solid understanding of distributed application architecture, networking fundamentals, telemetry pipelines, performance engineering, and incident management.
Dynatrace certification at Associate or Professional level required; higher‑level certification is strongly preferred.
Preferred Qualifications
Experience with tools such as Nagios/Solar Winds/Prometheus/Grafana, Splunk, or ELK
Experience with Open Telemetry, Dynatrace Grail, advanced log analytics, and enterprise telemetry standardization
Experience integrating observability with ITSM or event‑management platforms such as Service Now
Background in SRE practices such as reliability reviews, error budget management, and incident reduction programs.
Integrate observability controls into CI/CD pipelines and establish telemetry quality standards for new application and infrastructure deployments
Use Dynatrace Query Language (DQL) and Grail capabilities for advanced log analysis, event correlation, notebooks, and custom operational insights. 4. Governance, Cost Control & Enablement
Own monitoring governance practices related to telemetry quality, alert design, data retention, platform usage standards, and operat

📌 Senior observability engineer (Toronto)
🏢 CI Financial
📍 Toronto