Platform DevOps Engineer

Future Secure AI; City of Melbourne; Hybrid; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible work environment

Competitive salary

Growth opportunities

Job summary

Future Secure AI seeks a Platform DevOps Engineer in Melbourne to design, build, and operate the platforms powering AI Co-Workers. You will own end-to-end reliability and collaborate with product, AI, and engineering teams.

You will manage Kubernetes-based platforms, implement GitOps with Terraform/Terragrunt, and maintain CI/CD workflows with GitHub Actions. Experience with ArgoCD, Helm, and multiple cloud providers is essential.

Qualifications

• Hands-on Kubernetes experience designing, building, or operating workloads on EKS/AKS/GKE or self-managed clusters.
• Hands-on Terraform/Terragrunt for infrastructure provisioning and automation.
• Hands-on Helm for Kubernetes application deployment.
• Proficient in at least two programming or scripting languages (Python, Go, Java, Bash, PowerShell, or Ruby).
• Direct Platform/DevOps engineer experience or equivalent.

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 via GitOps methodology using Terraform/Terragrunt.
• Maintain reusable GitHub Actions CI/CD workflows for Docker image builds, Terraform plan/apply gates, and cross-repo deploys.
• Implement and maintain Helm-based deployment workflows leveraging GitOps tools and technologies (ArgoCD).
• 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.
• Troubleshoot and remediate issues across a highly variable, multi-layer technology stack.
• Contribute to product feature enhancements through the design and implementation of architectural improvements of the technology stack, which must satisfy requirements for resiliency, security and compatibility across multiple cloud providers.

Skills

Kubernetes

Terraform

Terragrunt

Helm

Python

Go

Bash

DevOps mindset

Tools

ArgoCD

GitHub Actions

Docker

Terragrunt

Terraform

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 Us

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 Platform DevOps 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.

What will you be doing

• 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 via GitOps methodology using Terraform/Terragrunt
• Maintain reusable GitHub Actions CI/CD workflows for Docker image builds, Terraform plan/apply gates, and cross-repo deploys
• Implement and maintain Helm-based deployment workflows leveraging GitOps tools and technologies (ArgoCD)
• 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
• Troubleshoot and remediate issues across a highly variable, multi-layer technology stack
• Contribute to product feature enhancements through the design and implementation of architectural improvements of the technology stack, which must satisfy requirements for resiliency, security and compatibility across multiple cloud providers

Must have criteria

• Hands-on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed Kubernetes
• Hands-on Terraform/Terragrunt 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
• Direct Platform/DevOps Engineer experience or equivalent

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 or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations

Preferable criteria

• Relevant certifications such as CKA, CKAD, cloud certifications (AWS, Azure and/or GCP), 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

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 atwww.futuresecure.ai(the "Website") and use our services.