Site Reliability Engineer — Kubernetes & Terraform

Future Secure AI; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Future Secure AI is seeking a Site Reliability Engineer to design, build, and operate production platforms powering AI Co‑Workers. You will own end‑to‑end reliability, collaborating with product, AI, and engineering teams.

The role requires 5+ years in SRE/DevOps, Kubernetes expertise (EKS/AKS/GKE or self‑managed), and strong infrastructure as code experience with Terraform and Helm. Proficiency in Python/Go/Java/Bash/PowerShell/Ruby is expected, with CI/CD ownership and incident response

Qualifications

• Bachelor's degree in computer science, information systems, or related field.
• 5+ years of professional experience in Site Reliability/DevOps.
• Kubernetes experience with EKS/AKS/GKE or self-managed clusters.
• Terraform for provisioning and automation.
• Helm for Kubernetes deployments.
• Proficiency in Python, Go, Java, Bash, PowerShell, or Ruby.
• Direct experience with reliability engineering, on-call rotations, and incident response.
• CI/CD ownership and security considerations.

Responsibilities

• Design, build, and operate reliable production infrastructure for AI workloads.
• Own Kubernetes-based platforms used to deploy and run workloads.
• Build and maintain infrastructure as code using Terraform.
• Implement and maintain Helm-based deployment workflows.
• Define, measure, and improve system reliability with SLIs, SLOs, and SLAs.
• Participate in on-call rotation, incident response, root-cause analysis, and post-mortems.
• Reduce operational toil through automation and engineering improvements.
• Build and improve observability across monitoring, logging, and alerting.
• Collaborate with engineers to ensure systems are resilient, scalable, and secure.
• Operate across build, deploy, and operate phases of the software lifecycle.

Skills

Kubernetes

Terraform

Helm

Python

Go

Java

Bash

PowerShell

Ruby

CI/CD

On-call experience

Education

Bachelor's degree in Computer Science or related field

Masters Degree (preferred)

Tools

ArgoCD

Job description

Future Secure AI is seeking a Site Reliability Engineer to design, build, and operate production platforms powering AI Co‑Workers. You will own end‑to‑end reliability, collaborating with product, AI, and engineering teams.

The role requires 5+ years in SRE/DevOps, Kubernetes expertise (EKS/AKS/GKE or self‑managed), and strong infrastructure as code experience with Terraform and Helm. Proficiency in Python/Go/Java/Bash/PowerShell/Ruby is expected, with CI/CD ownership and incident response