Senior SRE / Observability Engineer – IA & AI Ops - Bilingual

Montréal, QC
Hybrid
Posted Oct 21, 2026
1 position

$120,000–$130,000 / year

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Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

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.

Job details

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

What you’ll do

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.