Forward Deployed Engineer

About Future Secure AI

Future Secure AI is pioneering innovative AI solutions to solve significant real-world challenges faced by global enterprises across various industries. We leverage the latest technology and uphold a culture grounded in courage, rigor, and persistent curiosity. Our core values, represented by BRAVER, shape our team and workplace ethics. We have an approachable leadership team with an open-door policy, emphasizing personal growth as foundational to our collective success. Join us to collaborate with top industry talent, innovate on uncharted problems, and contribute to impactful work.

Role Overview

We seek a proactive Forward Deployed Engineer to architect, develop, and maintain the infrastructure that powers AI Co-Workers. This role requires hands-on engagement with end-to-end system reliability and collaboration with cross-functional teams including product, AI, and engineering.

Key Responsibilities

• Design, develop, and manage production-ready, dependable infrastructure supporting AI workloads.
• Create and configure Kubernetes clusters at a production-standard level rather than only managing workloads.
• Take ownership of Kubernetes platforms used for deploying AI applications.
• Author and sustain infrastructure automation with Terraform.
• Develop and uphold Helm-based workflows for application deployment on Kubernetes.
• Work effectively in diverse customer environments, both new and existing, often with incomplete documentation.
• Ensure environments are properly documented and maintained for ongoing support by other teams.
• Collaborate closely with engineering teams to build resilient, scalable, and secure systems.

Required Qualifications & Skills

• Proven hands-on experience with Kubernetes platforms such as EKS, AKS, GKE or self-hosted solutions.
• Practical expertise in using Terraform for infrastructure provisioning and automation.
• Experience deploying Kubernetes applications using Helm.
• Professional background using at least two programming or scripting languages, including Python, Go, Java, Bash, PowerShell, or Ruby.
• Excellent communicator capable of adjusting technical discussions for engineering peers and higher management.

Preferred Experience

• Experience operating within structured SDLC methodologies, inclusive of CI/CD pipelines, release management, and full delivery lifecycle.
• Familiarity with at least one main cloud provider: AWS, Azure, or Google Cloud Platform.
• Knowledge of GitOps or ArgoCD deployment strategies.
• Minimum of five years professional experience relevant to the role.
• Introduction to DevOps practices, covering CI/CD maintenance, infrastructure automation, and security protocols.

Desirable Certifications

• Certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), cloud provider certificates, or DevOps-related credentials are advantageous.

Why Join Future Secure AI?

• Engage in a high-performance company culture.
• Work with cutting-edge technology in AI and infrastructure.
• Learn from accessible and experienced leadership.
• Contribute to projects with large-scale impact and meaningful purpose.
• Receive competitive compensation supporting professional growth.
• Collaborate with leading experts in the industry.
• Enjoy a flexible working environment promoting diversity and creativity.

Additional Information

Future Secure AI manages hiring internally and does not engage recruitment agencies. Candidates should submit applications directly through the company website. The company respects privacy, complying with GDPR and the Australian Privacy Principles under the Privacy Act 1988 (Cth), as described in their Privacy Policy provided on their website.