Site Reliability Engineer
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Key skills for this role
About the Role
Future Secure AI is seeking a Site Reliability Engineer to design, build, and operate reliable production infrastructure for AI Co-Workers. The role requires hands-on experience with Kubernetes, Terraform, Helm, and reliability engineering practices including on-call and incident response.
Key Skills for This Role
Responsibilities
- Design, build, and operate reliable production infrastructure supporting AI Co Workers
- Own Kubernetes based platforms for 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
- Build and improve observability across monitoring, logging, and alerting
- Partner with engineers to ensure resilient, scalable, and secure systems
- Operate across build, deploy, and operate phases of the software lifecycle
Requirements
- Hands on Kubernetes experience (EKS, AKS, GKE, or self managed)
- Hands on Terraform experience
- Hands on Helm experience
- Professional experience with at least two programming/scripting languages (Python, Go, Java, Bash, PowerShell, Ruby)
- Direct SRE experience including on call, incident response, post mortems, and toil reduction
- Experience with SDLC, CI/CD, and end to end delivery
- Hands on experience with at least one major cloud provider (AWS, Azure, Google Cloud)
- Experience with ArgoCD or GitOps
- Five or more years of relevant professional experience
- DevOps or DevSecOps experience
Full Job Posting
About the Company
- Future Secure AI builds AI Co Workers that automate operational work across enterprise environments.
- We are looking for a Site Reliability Engineer to design, build, and operate platforms powering AI Co Workers.
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.
- 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.
Why Join Us?
- A high performance culture.
- State of the art technology.
- Experience world class leadership.
- Scale of impact and purpose.
- A competitive salary and a huge growth trajectory.
- Work with the best in the industry.
- Flexible work environment.
- Diversity and creativity.
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