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| Pager Duty) 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 Pager Duty; 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. Robust 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 Pager Duty 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
📌 Sr Support Engineer (Montreal)
🏢 apptoza
📍 Montreal
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