DevOps Engineer

Future Secure AI builds AI CoWorkers that automate real operational work across enterprise environments. Our systems run in production, at scale, and under realworld constraints. Reliability, resilience, and disciplined engineering are critical to everything we do.

We are looking for a Site Reliability Engineer to help design, build, and operate the platforms that power AI CoWorkers. This is a handson role for an engineer who enjoys owning reliability endtoend and working closely with product, AI, and engineering teams.

The role

Design, build, and operate reliable production infrastructure supporting AI CoWorkers
Own Kubernetesbased platforms used to deploy and run AI workloads
Build and maintain infrastructure as code using Terraform
Implement and maintain Helmbased deployment workflows
Define, measure, and improve system reliability using SLIs, SLOs, and SLAs
Participate in oncall rotation, incident response, root cause analysis, and postmortems
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

Handson Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or selfmanaged Kubernetes
Handson Terraform experience for infrastructure provisioning and automation
Handson 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, oncall, incident response, postmortems, and toil reduction

Should have criteria

Experience working within a defined SDLC, including CI/CD, release processes, and endtoend delivery from design to operations
Handson experience with at least one major cloud provider such as AWS, Azure, or Google Cloud
Experience with ArgoCD or GitOpsstyle 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