Observability Engineer
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Role Description The Observability Engineer will be responsible for designing, implementing, and maintaining observability solutions to ensure the reliability, performance, and availability of critical systems and applications. Day-to-day tasks include configuring monitoring, logging, and tracing tools, building dashboards and alerts, analyzing system metrics, and collaborating with development, DevOps, and security teams to proactively identify and resolve issues. The role involves improving observability architecture, standardizing instrumentation and event collection, and contributing to incident response and post-incident reviews. This is a full-time, hybrid position based in Montreal, QC, with the flexibility to work from home part of the time while attending on-site meetings and collaboration sessions as needed.
Qualifications
- Candidates should possess skills in observability platforms and tools (for example, Prometheus, Grafana, Elastic Stack, Datadog, New Relic, or similar solutions) for monitoring, logging, and tracing.
- Candidates should possess skills in infrastructure and cloud environments (such as Linux administration, containers, Kubernetes, and at least one major cloud platform like AWS, Azure, or GCP).
- Candidates should possess skills in scripting and automation (for example, Python, Bash, or PowerShell) to automate observability configurations, alerts, and data collection.
- Candidates should possess skills in incident management and performance analysis, including root-cause investigation, capacity planning, and optimization of application and system performance.
- Candidates should possess skills in CI/CD and configuration-as-code practices (such as Git-based workflows, Terraform, Ansible, or similar) to integrate observability into deployment pipelines.
- Candidates should possess strong communication and collaboration skills to work effectively with cross-functional teams and translate technical insights into clear, actionable recommendations.
- Relevant experience in site reliability engineering, DevOps, system engineering, or a related observability-focused role is beneficial; a bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience, is preferred.
- Familiarity with security best practices, resilience design patterns, and AI or data-driven analytics for operations is an asset.
More about this job
Responsibilities
Design, implement, and maintain observability solutions, including monitoring, logging, tracing, dashboards, alerts, and standardized instrumentation. Analyze system performance, help identify and resolve incidents, improve observability architecture, and collaborate with development, DevOps, and security teams.
Requirements
Candidates should have experience with observability tools, infrastructure and cloud environments, scripting and automation, incident management, and CI/CD or configuration-as-code practices. Strong communication and collaboration skills are expected; a relevant degree or equivalent practical experience is preferred, and experience in SRE, DevOps, or systems engineering is beneficial.
Skills
- Observability Platforms
- Monitoring
- Logging
- Tracing
- Prometheus
- Grafana
- Elastic Stack
- Datadog
- New Relic
- Linux Administration
- Kubernetes
- Cloud Platforms
- Python
- Bash
- Incident Management
- Infrastructure as Code
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Security & Safety
Keywords
- Observability
- Prometheus
- Grafana
- Elastic Stack
- Datadog
- New Relic
- Monitoring
- Logging
- Tracing
- Linux
- Containers
- Kubernetes
- AWS
- Azure
- GCP
- Python
- Bash
- PowerShell
- Incident Management
- Root-Cause Analysis
- Capacity Planning
- Performance Optimization
- CI/CD
- Git
- Terraform
- Ansible
- Site Reliability Engineering
- DevOps
- Resilience Design
- AI-Driven Analytics