Senior Observability Engineer

Job Description

Senior Observability Engineer

Montreal QC - Hybrid (2-4 Days WFO

Role Descriptions:

What will you do

Design and implement observability-as-code solutions using Terraform to deploy monitoring pipelines dashboards and alerting strategies across distributed systems.

Drive observability improvements leveraging industry-leading tools (Dynatrace ELK Splunk PagerDuty) to achieve real-time performance insights and comprehensive system visibility.

Instrument applications for end-to-end observability implementing distributed tracing metrics collection and log aggregation across microservices and event-driven architectures.

Troubleshoot complex incidents in production environments diagnosing root causes across multiple service layers databases caches and APIs under load using SLI/SLO frameworks.

Investigate and resolve Azure Kubernetes Service (AKS) infrastructure ensuring reliability and scalability of containerized workloads with deep proficiency in Terraform and Azure managed services (SQL MI Redis Functions Event Grid).

Translate business requirements into observable resilient systems that meet defined SLIs/SLOs and drive reliability improvements.

Automate operational tasks to reduce toil and improve system resilience through infrastructure-as-code and CI/CD best practices.

Lead incident response and remediation for mission-critical systems conducting blameless postmortems and building resilience through chaos engineering and tabletop exercises.

Collaborate cross-functionally with development platform and business teams to improve service availability scalability and operational excellence.

What do you need to succeed

Must-have:

8 years hands-on experience in observability SRE or DevOps roles with proven expertise across infrastructure and application-level reliability.

Deep expertise in observability tooling: Dynatrace ELK Splunk and PagerDuty; demonstrated understanding of observability principles (instrumentation correlation IDs SLI/SLO frameworks).

Advanced proficiency with Azure Kubernetes Service (AKS) Terraform and Azure managed services (SQL MI Redis Functions Event Grid); proven ability to design and implement infrastructure-as-code solutions.

Strong hands-on experience instrumenting applications for comprehensive observability: distributed tracing metrics collection and log aggregation across applications in microservices and event-driven architectures.

Proven troubleshooting expertise in distributed systems diagnosing root causes across multiple service layers databases caches and APIs in production environments.

Excellent incident management skills: hands-on experience with PagerDuty and ServiceNow; ability to resolve high-severity incidents rapidly and conduct effective root cause analysis.

Knowledge of incident problem and change management processes including SRE principles blameless postmortems and chaos engineering practices.

Exceptional communication and leadership.