Senior Observability Engineer

Job Description

​Senior Observability Engineer

Key Skills: AKS + Terraform, Dynatrace/Splunk/ELK, PagerDuty/ServiceNow

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 Node.js and .NET 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 Node.js and .NET 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.