Sr Support Engineer

Apptoza Inc.; Montreal (administrative region); On-site; CAD 120,000 - 160,000; Full time

Job summary

Apptoza Inc. in Montreal seeks an experienced Observability/SRE/DevOps engineer to design and implement observability-as-code with Terraform, deploying monitoring pipelines across distributed systems.

You will instrument Node.js and .NET microservices and lead incident response to ensure reliability and rapid root-cause analysis. Expertise with Dynatrace, ELK, Splunk, Pager Duty, AKS, Terraform, and Azure is required, along with strong collaboration across teams to meet SLIs/SLOs and drive

Qualifications

• Must have hands-on experience in observability engineering, SRE, or DevOps roles.
• Deep expertise with Dynatrace, ELK, Splunk, and Pager Duty.
• Advanced proficiency with AKS, Terraform, and Azure managed services.

Responsibilities

• Design and implement observability-as-code solutions using Terraform to deploy monitoring pipelines, dashboards, and alerting strategies across distributed systems.
• Instrument applications for end-to-end observability across Node.js and .NET microservices and event-driven architectures.
• Lead incident response and remediation for mission-critical systems, conducting blameless postmortems and chaos exercises.
• Collaborate with cross-functional teams to improve service availability and reliability through SLI/SLO frameworks.

Skills

Observability

SRE

DevOps

Dynatrace

ELK

Splunk

Pager Duty

AKS

Terraform

Azure

CI/CD

Distributed tracing

Metrics collection

Log aggregation

Incident management

Postmortems

Chaos engineering

ServiceNow

Tools

AKS

ServiceNow

CI/CD pipelines

Job description

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. 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 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