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 Role We are looking for a Forward Deployed 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 Bachelors Degree in Computer Science, Information Systems, or related field 5+ years of professional experience in Site Reliability Engineering or DevOps Engineering Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes Terraform experience for infrastructure provisioning and automation 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 experience with reliability engineering, on‑call rotations, incident response, post‑mortems, and toil reduction DevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations Preferred Qualifications Masters Degree in Computer Science, Information Systems, or related field 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 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.

Requirements

Must-haves

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
Bachelors Degree in Computer Science, Information Systems, or related field
5+ years of professional experience in Site Reliability Engineering or DevOps Engineering

Nice-to-haves

Masters Degree in Computer Science, Information Systems, or related field
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
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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetespythongojavaci/cdawsazure

Platform: greenhouse
Effort: quick

Benefits

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