Site Reliability Engineer

Future Secure AI; Wellington; On-site; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Flexible work environment

Career growth

Job summary

Future Secure AI in Wellington, New Zealand, is seeking a Site Reliability Engineer to design, deploy, and operate the platforms that power AI Co-Workers. This hands-on role requires owning reliability end-to-end and collaborating across product, AI, and engineering teams.

You will design and operate production infrastructure, manage Kubernetes clusters on major cloud providers, implement IaC with Terraform and Helm, and enhance observability and security.

Qualifications

• Hands-on Kubernetes experience designing, building, or operating workloads on multiple Kubernetes environments (EKS/AKS/GKE or self-managed).
• Hands-on Terraform experience for infrastructure provisioning and automation.
• Hands-on 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.
• Strong communication skills, with the ability to run technical conversations at engineer level and adjust for leadership-level discussions.

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
• Build and improve observability across monitoring, logging, and alerting
• Partner closely with engineers to ensure systems are resilient, scalable, and secure

Skills

Kubernetes experience

Terraform experience

Helm experience

Programming languages (Python/Go/Java/

Tools

Kubernetes

Terraform

Helm

CI/CD

GitOps

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 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.

We are looking for a Site Reliability Engineer to help design and deploy, 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.

What You'll Do

• 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
• Build and improve observability across monitoring, logging, and alerting
• Partner closely with engineers to ensure systems are resilient, scalable, and secure

What You'll Have

• Hands‑on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes
• Hands‑on Terraform experience for infrastructure provisioning and automation
• Hands‑on 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
• Strong communication skills, with the ability to run technical conversations at engineer level and adjust for leadership‑level discussions

Should‑Have Criteria

• 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
• Five or more years of relevant professional experience
• DevOps experience, including CI/CD ownership, infrastructure automation, and security considerations

Preferable Criteria

• 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
• World‑class leadership
• Scale of impact and purpose
• A competitive salary and strong growth trajectory
• Work alongside the best in the industry
• Flexible work environment
• Diversity and creativity

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.