Job Summary:
Future Secure AI is building innovative solutions at the forefront of AI technology. They are seeking a Site Reliability Engineer to design, build, and operate platforms that support AI Co-Workers, ensuring reliability and efficiency throughout the software lifecycle.
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
Qualifications:
Required:
• 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:
• 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
Company:
As a global leader in the fast-growing market for enterprise transformation at industrial scale we have created a new model of enterprise technology delivery in the form of AI Co-Workers Founded in , the company is headquartered in , , with a team of 201-500 employees. The company is currently Growth Stage.