Senior Platform Engineer (SRE), AI Solutions

Québec, QC
On-site
Posted Oct 1, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Build and operate a cloud-native developer platform, including Kubernetes infrastructure, self-service golden paths, an internal developer portal, and observability tooling. Own reliability through SLOs, incident response, performance improvements, toil-reducing automation, and the use of agentic tools to advance deployment and operations.

Job details

Job Summary This senior SRE-level role builds and runs that foundation — managed platforms, golden-path blueprints, and observability that let product pods ship fast and operate with confidence. You own reliability, with the software-development skill to support developers and design golden paths. Like our developers, you're all-in on AI — you believe a platform engineer gets production-quality IaC from agentic tools, and you want to lead the agentic deploy and operate stages of the SDLC. Note: a platform / SRE role needing cloud-native depth and real software-development skill. Responsibilities: Build and operate client's cloud-native developer platform (Kubernetes + CNCF) on AWS, Azure, or GCP. Design golden-path blueprints so product pods self-serve provisioning, CI/CD, deploy, and operations. Own the internal developer portal (e.g., Backstage) that surfaces paths, services, and docs. Run the observability/monitoring stack (Prometheus, Grafana) for the traceability to operate on-the-loop. Own reliability as an SRE: SLOs, incident response, performance, and toil-removing automation. Use agentic tools daily to produce production-quality IaC and push the agentic frontier in deploy and operate. Qualifications: Deep cloud-native expertise: Kubernetes and hands-on experience across the CNCF landscape. Production experience on at least one hyperscaler — AWS, Azure, or GCP. SRE fundamentals: SLOs/SLIs, incident response, reliability, performance, and toil-reducing automation. Strong IaC (Terraform, Helm, GitOps) and enough software-development skill to support developers and design golden paths. Built or run a developer portal (Backstage) and observability (Prometheus, Grafana). Daily, fluent use of agentic coding tools to produce production-quality IaC. Plus: Contributed to CNCF or open-source platform/observability projects. Agentic deploy/operate — self-healing, auto-remediation, or AI-assisted incident response. Multi-cloud (AWS, Azure, GCP), policy-as-code, supply-chain security (SBOMs); GitLab CI.

What you’ll do

Requirements

Requires deep Kubernetes and CNCF expertise, production experience with at least one major cloud provider, and strong SRE fundamentals. Candidates should also have strong infrastructure-as-code skills, software-development ability, experience with Backstage and Prometheus/Grafana, and fluent daily use of agentic coding tools.