We are looking for a Sr. Site Reliability 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.
The role
• 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
Must have criteria
• Hands‑on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes
• Hands‑on Terraform 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 Site Reliability Engineer experience or equivalent, including reliability engineering, on‑call, incident response, post‑mortems, and toil reduction
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, DevOps, DevSecOps, or programming credentials
Austin, TX Hybrid Full-time
Future Secure AI is hiring a Platform DevOps Engineer
About company
We have a distinctive, proven approach for fast, high-ROI deployment of AI in enterprises:
- We build bespoke AI Co-Workers for the Red Zone. They consist of a persona wrapped over a complex multi-agent system to undertake controlled, context-specific workflows with enterprise grade security and high ROI (vs simpler Blue-Zone agentic tools)
- We rely on a new collaborative approach to AI design, build and run with our customers: one that’s a true partnership, not SaaS, not black boxes, not systems integration or consulting
- We have proven experience driving fast ROI impact in large, complex organizations, and are agnostic to cloud infrastructure and LLMs with the ability to easily integrate third-party agents and systems
We focus on Red-Zone (i.e., higher complexity) use cases. Our AI Co-Workers are fast and responsive at scale, orchestrate large numbers of advanced agents, enable highly secure task and process execution and deliver observability that mission-critical enterprise workflows require. We sit below the expensive private data and ML Black-Zone players; and we sit well above the myriad Blue-Zone plug-and-play agentic players who often fail to deliver more complex, context-specific workflows.