{"schemaVersion":"jobsearcher.job.v1","id":"b16622f54c4615a943674fb8","url":"https://jobsearcher.com/jobs/b16622f54c4615a943674fb8","canonicalUrl":"https://jobsearcher.com/jobs/b16622f54c4615a943674fb8","title":"Platform DevOps Engineer","description":"About the Company\n\nAt 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.\nWe 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.\nThe role\nDesign, build, and operate reliable production infrastructure supporting AI Co‑Workers\nOwn Kubernetes‑based platforms used to deploy and run AI workloads\nBuild and maintain infrastructure as code via GitOps methodology using Terraform/Terragrunt\nMaintain reusable GitHub Actions CI/CD workflows for Docker image builds, Terraform plan/apply gates, and cross-repo deploys\nImplement and maintain Helm‑based deployment workflows leveraging GitOps tools and technologies (ArgoCD)\nDefine, measure, and improve system reliability using SLIs, SLOs, and SLAs\nReduce operational toil through automation and engineering improvements\nBuild and improve observability across monitoring, logging, and alerting\nPartner closely with engineers to ensure systems are resilient, scalable, and secure\nOperate across build, deploy, and operate phases of the software lifecycle\nTroubleshoot and remediate issues across a highly variable, multi-layer technology stack\nContribute 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\nMust have criteria\nHands‑on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes\nHands‑on Terraform/Terragrunt experience for infrastructure provisioning and automation\nHands‑on Helm experience for Kubernetes application deployment\nProfessional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby\nDirect Platform/DevOps experience or equivalent, including reliability engineering, on‑call, incident response, post‑mortems, and toil reduction\nShould have criteria\nExperience working within a defined SDLC, including CI/CD, release processes, and end‑to‑end delivery from design to operations\nHands‑on experience with at least one major cloud provider such as AWS, Azure, or Google Cloud\nExperience with ArgoCD or GitOps‑style deployment approaches\nFive or more years of relevant professional experience\nDevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations\nPreferable criteria\nRelevant certifications such as CKA, CKAD, cloud certifications (AWS, Azure, and/or GCP), DevOps, DevSecOps, or programming credentials\nWhy Join Us?\nA high-performance culture\nState-of-the-art technology\nExperience world-class leadership\nScale of impact and purpose\nA competitive salary and a huge growth trajectory\nWork with the best in the industry\nFlexible work environment\nDiversity and creativity\n\nDisclaimer: 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.\nFuture Secure AI Privacy Policy\nAt 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.","company":"Future Secure Ai","rawCompany":"future secure ai","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-26T12:01:11.051Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Platform DevOps Engineer","description":"About the Company\n\nAt 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.\nWe 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.\nThe role\nDesign, build, and operate reliable production infrastructure supporting AI Co‑Workers\nOwn Kubernetes‑based platforms used to deploy and run AI workloads\nBuild and maintain infrastructure as code via GitOps methodology using Terraform/Terragrunt\nMaintain reusable GitHub Actions CI/CD workflows for Docker image builds, Terraform plan/apply gates, and cross-repo deploys\nImplement and maintain Helm‑based deployment workflows leveraging GitOps tools and technologies (ArgoCD)\nDefine, measure, and improve system reliability using SLIs, SLOs, and SLAs\nReduce operational toil through automation and engineering improvements\nBuild and improve observability across monitoring, logging, and alerting\nPartner closely with engineers to ensure systems are resilient, scalable, and secure\nOperate across build, deploy, and operate phases of the software lifecycle\nTroubleshoot and remediate issues across a highly variable, multi-layer technology stack\nContribute 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\nMust have criteria\nHands‑on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes\nHands‑on Terraform/Terragrunt experience for infrastructure provisioning and automation\nHands‑on Helm experience for Kubernetes application deployment\nProfessional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby\nDirect Platform/DevOps experience or equivalent, including reliability engineering, on‑call, incident response, post‑mortems, and toil reduction\nShould have criteria\nExperience working within a defined SDLC, including CI/CD, release processes, and end‑to‑end delivery from design to operations\nHands‑on experience with at least one major cloud provider such as AWS, Azure, or Google Cloud\nExperience with ArgoCD or GitOps‑style deployment approaches\nFive or more years of relevant professional experience\nDevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations\nPreferable criteria\nRelevant certifications such as CKA, CKAD, cloud certifications (AWS, Azure, and/or GCP), DevOps, DevSecOps, or programming credentials\nWhy Join Us?\nA high-performance culture\nState-of-the-art technology\nExperience world-class leadership\nScale of impact and purpose\nA competitive salary and a huge growth trajectory\nWork with the best in the industry\nFlexible work environment\nDiversity and creativity\n\nDisclaimer: 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.\nFuture Secure AI Privacy Policy\nAt 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.","datePosted":"2026-06-26T12:01:11.051Z","dateModified":"2026-06-26T12:01:11.051Z","hiringOrganization":{"@type":"Organization","name":"Future Secure Ai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b16622f54c4615a943674fb8"},"url":"https://jobsearcher.com/jobs/b16622f54c4615a943674fb8"}}