Forward Deployed Engineer

About the role

Future Secure AI is looking for a Forward Deployed Engineer to help design, build and operate the platforms that power its AI Co-Workers. It is a hands-on role for an engineer who enjoys owning reliability end to end and working closely with product, AI and engineering teams.

Key responsibilities

• Design, build and operate reliable production infrastructure supporting AI Co-Workers
• Design and configure production-grade Kubernetes clusters, not just run workloads on top of existing ones
• Build and maintain infrastructure as code using Terraform
• Implement and maintain Helm-based deployment workflows
• Operate in greenfield and brownfield customer environments, often with incomplete documentation, and leave them clean and well documented
• Partner with engineers to make systems resilient, scalable and secure

Required profile

• Professional experience with at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell or Ruby
• Strong communication skills, able to run technical conversations at engineer level and adjust for leadership-level discussions
• Should-have: experience in a defined SDLC including CI/CD and release processes; hands-on experience with at least one major cloud provider (AWS, Azure or Google Cloud); experience with ArgoCD or GitOps; five or more years of relevant professional experience; DevOps experience including CI/CD ownership, infrastructure automation and security
• Preferred: relevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps or programming credentials

Required skills

• Kubernetes (EKS, AKS, GKE or self-managed)
• Terraform
• Helm

Candidates should apply directly through the company's website, as the hiring process is managed in-house and recruitment agencies are not contacted.