Platform DevOps Engineer
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Jun 23, 2026. Future Secure AI scores B on the Alion truth index.
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
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.