Site Reliability Engineer — AI Infra & Kubernetes (Flexible)

Future Secure AI

Auckland

On-site

NZD 120,000 - 180,000

Full time

9 days ago

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Benefits offered by this job

High-performance culture
State-of-the-art technology
World-class leadership
Flexible work environment
Competitive salary and growth

Job summary

Future Secure AI is seeking a Site Reliability Engineer to design, deploy, and operate reliable AI production platforms. You’ll own Kubernetes-based workloads, manage infrastructure as code with Terraform, and implement Helm deployment workflows while enhancing observability.

Collaboration with product, AI, and software teams is essential. We value hands-on engineers who thrive on reliability, security, and scale.

Qualifications

  • Strong understanding of CI/CD practices and end-to-end delivery.
  • Experience with GitOps workflows and modern deployment approaches.
  • Proficiency in programming with at least one language (Python/Go/Java) and scripting.
  • Familiarity with cloud platforms (AWS/Azure/GCP) and DevOps tooling.
  • Clear communication and collaboration across engineering and product 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.
  • Build and improve observability across monitoring, logging, and alerting.
  • Partner closely with engineers to ensure systems are resilient, scalable, and secure.

Skills

CI/CD practices
GitOps
Programming languages
Cloud concepts
Communication

Tools

Kubernetes
Terraform
Helm

Job description

Future Secure AI is seeking a Site Reliability Engineer to design, deploy, and operate reliable AI production platforms. You’ll own Kubernetes-based workloads, manage infrastructure as code with Terraform, and implement Helm deployment workflows while enhancing observability.

Collaboration with product, AI, and software teams is essential. We value hands-on engineers who thrive on reliability, security, and scale.

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