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About the Role
We are looking for a Forward Deployed 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.
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
Requirements
- Bachelors Degree in Computer Science, Information Systems, or related field
- 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
- Masters Degree in Computer Science, Information Systems, or related field
- 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
Skills
- Kubernetes
- Terraform
- Helm
- Python
- Go
- Java
- Bash
- PowerShell
- Ruby
- Site Reliability Engineering
- DevOps Engineering
- DevSecOps
- CI/CD
- AWS
- Azure
- Google Cloud
- ArgoCD
- GitOps
Experience Level
- 5+ years of professional experience
Education Level
- Bachelors Degree in Computer Science, Information Systems, or related field
- Masters Degree in Computer Science, Information Systems, or related field
Benefits
- A competitive salary
- a huge growth trajectory
- Flexible work environment
About the Company
- At 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.