Job Opportunities API

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 equiva