Posted 7 months ago
Forward Deployed Engineer
@ Future Secure AI
Overview
Future Secure AI is hiring a Forward Deployed Engineer to design, build, and operate the production platforms behind its AI Co-Workers. The role is hands-on reliability and infrastructure work on Kubernetes, Terraform and Helm, with on-call duties. The posting describes a flexible work environment and a competitive salary but does not state pay or visa terms.
Responsibilities:
- Build and operate reliable production infrastructure for AI Co-Workers
- Own Kubernetes-based platforms for AI workloads
- Maintain Terraform infrastructure as code and Helm deployment workflows
- Take part in on-call rotations, incident response and post-mortems
- Reduce operational toil through automation and better observability
Requirements summary:
- Bachelor's degree in computer science, information systems or related field
- 5+ years of SRE or DevOps engineering experience
- Kubernetes experience on EKS, AKS, GKE or self-managed clusters
- Terraform and Helm experience
- Professional use of at least two programming or scripting languages
- Reliability engineering, on-call and incident response experience
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-04-09
- First seen by our source
- 2026-10-14
- Source record updated
- 2026-10-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | Computer Science, Information Systems |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Future Secure AI
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Meet your AI digital workers
Full company description
As a global leader in the fast-growing market for enterprise transformation at industrial scale we have created a new model of enterprise technology delivery in the form of AI Co-Workers
- People associated on LinkedIn
- 353
- Other recorded names
- Future Secure AI
- Profile identifies a recruitment agency
- No
As a global leader in the fast-growing market for enterprise transformation at industrial scale we have created a new model of enterprise technology delivery in the form of AI Co-Workers
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 201-500 employees |
| Organization type | Privately Held |
| Open jobs on Jobsy | 7 |
| View page |
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.
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
Minimum Qualifications
- 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
Preferred Qualifications
- 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
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
Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.
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