Forward Deployed Engineer

Future Secure AI; Toronto; On-site; CAD 110,000 - 165,000; Full time

Benefits offered by this job

Flexible work environment

Competitive salary

Growth opportunities

High-performance culture

Job summary

Future Secure AI is hiring a Forward Deployed Engineer in Toronto, Canada, to design, build, and operate platforms powering AI Co‑Workers. You will own reliability end-to-end and collaborate with product, AI, and engineering teams.

The role requires 5+ years in SRE/DevOps, strong Kubernetes experience, Terraform, Helm, and proficiency in multiple languages. On-call, incident response, and toil reduction are core aspects of the job, with opportunities for growth and impact.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 5+ years of professional experience in Site Reliability Engineering or DevOps Engineering.
• Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed Kubernetes.
• Terraform experience for infrastructure provisioning and automation.
• Helm experience for Kubernetes application deployment.
• Professional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby.
• Direct experience with reliability engineering, on-call rotations, incident response, post-mortems, and toil reduction.
• DevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations.

Responsibilities

• Design, build, and operate reliable production infrastructure supporting AI Co‑Workers.
• Own Kubernetes-based platforms used to deploy and run AI workloads.
• Build and maintain infrastructure as code using Terraform.
• Implement and maintain Helm-based deployment workflows.
• Define, measure, and improve system reliability using 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.
• Partner closely with engineers to ensure systems are resilient, scalable, and secure.
• Operate across build, deploy, and operate phases of the software lifecycle.

Skills

Python

Go

Java

Bash

PowerShell

Ruby

SRE/DevOps experience

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Kubernetes (EKS/AKS/GKE)

Terraform

Helm

ArgoCD / GitOps

Cloud platforms (AWS, Azure, GCP)

Job description

About the Company

At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the‑art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open‑door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

About the Role

We are looking for a Forward Deployed Engineer to help design, build, and operate the platforms that power AI Co‑Workers. This is a hands‑on role for an engineer who enjoys owning reliability end‑to‑end and working closely with product, AI, and engineering teams.

Responsibilities

• Design, build, and operate reliable production infrastructure supporting AI Co‑Workers
• Own Kubernetes‑based platforms used to deploy and run AI workloads
• Build and maintain infrastructure as code using Terraform
• Implement and maintain Helm‑based deployment workflows
• Define, measure, and improve system reliability using 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
• Partner closely with engineers to ensure systems are resilient, scalable, and secure
• Operate across build, deploy, and operate phases of the software lifecycle

Minimum Qualifications

• Bachelors Degree in Computer Science, Information Systems, or related field
• 5+ years of professional experience in Site Reliability Engineering or DevOps Engineering
• Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes
• Terraform experience for infrastructure provisioning and automation
• Helm experience for Kubernetes application deployment
• Professional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby
• Direct experience with reliability engineering, on‑call rotations, incident response, post‑mortems, and toil reduction
• DevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations

Preferred Qualifications

• Masters Degree in Computer Science, Information Systems, or related field
• Experience working within a defined SDLC, including CI/CD, release processes, and end‑to‑end delivery from design to operations
• Hands‑on experience with at least one major cloud provider such as AWS, Azure, or Google Cloud
• Experience with ArgoCD or GitOps‑style deployment approaches
• Relevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps, or programming credentials

Why Join Us?

• A high-performance culture
• State‑of‑the‑art technology
• Experience world‑class leadership
• Scale of impact and purpose
• A competitive salary and a huge growth trajectory
• Work with the best in the industry
• Flexible work environment
• Diversity and creativity