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Test: Do not apply (SRE, Canada)

Future Secure AI at a glance

Future Secure AI

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 Site Reliability 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

  • 5+ years of relevant work experience as a Site Reliability Engineer, DevOps Engineer or similar role
  • Hands on Kubernetes experience designing, building or operating workloads on EKS, AKS, GKE or self-managed Kubernetes
  • Terraform experience for infrastructure provisioning and automation
  • Experience with Help for Kubernetes application deployment
  • Hands on experience working with at least one major cloud provide such as AWS, Azure or Google Cloud
  • Experience with at least two programming or scripting languages such as Python, Go, Java, Bash, Ruby or PowerShell
  • Experience in reliability engineering, on-call rotations, incident response, post-mortems and toil reduction

Preferred Qualifications

  • Experience working within a defined SDLC, including CI/CD, release processes, and end‑to‑end delivery from design to operations
  • Experience with ArgoCD or GitOps‑style deployment approaches
  • DevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations
  • 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

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

Future Secure AI Privacy Policy

At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the “Website”) and use our services. 

To apply for this job please visit job-boards.anz.greenhouse.io.

Terms used in this posting

on-call
You may be required to be reachable and available to work outside normal scheduled hours, typically for a set rotation.

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Working in Toronto, Ontario

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Toronto is the most populous city in Canada and the capital city of the Canadian province of Ontario. It is located on a harbour at the northwestern shore of Lake Ontario. The city is the fourth-most populous city in North America, behind Mexico City, New York City, and Los Angeles, with a census population of 2,794,356 as of 2021. The Greater Toronto Area (GTA) is constituted of Toronto proper and four surrounding regions, Peel, York, Durham, and Halton, and has a population of 6,712,341, while the Toronto census metropolitan area (CMA), with a somewhat different definition, has a population

Ontario is the southernmost province of Canada. Located in Central Canada, Ontario is the country's most populous province. As of the 2021 Canadian census, it is home to over 14 million people, which is 38.5% of the country's population. Ontario is the second-largest province by total area and the fourth-largest jurisdiction of all the Canadian provinces and territories. It is home to the nation's

  • Elevation 99m (325 ft)

Source: Wikipedia (state)

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