Senior SRE / Observability Engineer – IA & AI Ops - Bilingual
- Montreal, QC, Canada
$120,000 to $130,000 CAD / year · Full-time
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Job details
- Pay
- $120,000 to $130,000 CAD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Tech Talent International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US and Europe.
We currently have a role as an Senior SRE / Observability Engineer – IA & AI Ops - Bilingual with our large consulting client, working for a public sector, crown corporation in the Montreal area.
Role: Senior SRE / Observability Engineer – IA & AI Ops - Bilingual
Type: Permanent or Long Term Contract
Location: Hybrid - Montreal, QC -(2/3 days per week onsite)
Salary: Base salary ranges from $120,000 - $130,000 (depending on experience) + 9% bonus + 4-5 weeks paid vacation + 6% RRSP matching + benefits + sick/personal day + cell phone allowance + discounts for public transit and may other perks
Contract Pay Rate: $85 - $95/hr (freelance/incorporated)
Language Requirements: English & French
Key Info: Candidates must be based out of Quebec
Project Overview
The mandate consists of integrating AI/SRE specialists into the squads responsible for systems in production in order to improve the detection, diagnosis and resolution of incidents. Consultants use existing traces, metrics, logs, application topologies, incident histories, runbooks and knowledge bases to develop assisted investigation, event correlation and action recommendation capabilities. In particular, they can help make this data accessible to development or operations assistants via secure APIs or connectors, automate certain triage steps and enrich the runbooks used by the support levels. The work must integrate with the Quebec public sector/crown corporation's observability and incident management practices and strengthen the autonomy of the squads that own the systems, without transferring operational accountability for these systems to the supplier
Job Description
We are looking for a senior consultant who can improve the detection, investigation and resolution of incidents in production through observability, automation and artificial intelligence.
The candidate will work on critical environments in order to leverage logs, metrics, traces, alerts, incident histories, and knowledge bases to accelerate diagnosis, enrich runbooks, and automate certain support activities.
Profile sought: 70% SRE / 30% AI.
Key Tech Stack
Dynatrace + Prometheus + Grafana + OpenSearch + AWS + Kubernetes + Terraform + Python + Incident Management + RCA + AIOps + LLM/RAG
Desired experience
- 8+ years in SRE, Production, Operations or Reliability
- Critical Incident Management and RCA (Root Cause Analysis)
- Leveraging Kubernetes platforms in production
- AWS Cloud Environments
- Automation with Python
- MTTD/MTTR Enhancement
Key Technical Skills
Observability
- Dynatrace
- Prometheus
- Grafana
- OpenSearch / Elastic
- Monitoring, Alerting, Logging, Tracing
Cloud & Platform
- AWS
- CloudWatch
- Kubernetes / EKS
- OpenShift (asset)
DevOps & Automation
- Python
- Bash
- GitLab / GitLab CI
- Terraform
- Ansible
- Infrastructure as Code
AI applied to operations
- AIOps
- GenAI
- LLM
- Copilot
- Agentic AI
- RAG (Retrieval-Augmented Generation)
- Semantic Search
- Knowledge Retrieval
- Event Correlation
- Operational Intelligence
- AI Assistant
- Incident Investigation Automation
Target Job Titles
- Senior Site Reliability Engineer (SRE)
- Reliability Engineer
- Observability Engineer
- Platform Engineer
- Production Engineer
- Cloud Operations Engineer
- Kubernetes Engineer
- AIOps Engineer
More about this job
Responsibilities
Improve production incident detection, investigation, and resolution by applying observability, automation, and AI to logs, metrics, traces, alerts, incident histories, and knowledge bases. Develop assisted investigation, event correlation, recommendations, secure data access, automated triage, and enriched runbooks while supporting the autonomy of system-owning teams.
Requirements
Candidates should have 8 or more years of experience in SRE, production, operations, or reliability, including critical incident management and root cause analysis. They should bring production Kubernetes and AWS experience, Python automation skills, and expertise in improving MTTD and MTTR; English and French are required, and candidates must be based in Quebec.
Skills
- Site Reliability Engineering
- Observability
- Dynatrace
- Prometheus
- Grafana
- OpenSearch
- AWS
- Kubernetes
- Terraform
- Python
- Incident Management
- Root Cause Analysis
- AIOps
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
Benefits
- Performance Bonus
- Paid Vacation
- RRSP Matching
- Benefits
- Sick and Personal Days
- Cell Phone Allowance
- Public Transit Discounts
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Government & Public Sector
Keywords
- Site Reliability Engineering
- Observability
- Dynatrace
- Prometheus
- Grafana
- OpenSearch
- Elastic
- AWS
- CloudWatch
- Kubernetes
- EKS
- OpenShift
- Terraform
- Ansible
- Python
- Bash
- GitLab
- GitLab CI
- Infrastructure as Code
- AIOps
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- Semantic Search
- Event Correlation
- Incident Management
- Root Cause Analysis
- Runbooks
- MTTD
- MTTR