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Solution Architect
Future Secure AI —Sydney NSW
- Azure
- DevOps
- AWS
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More than five years of relevant professional experience. Platform engineering experience building or operating platforms that enable other teams or customers.
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Solution Architect

Future Secure AI
Sydney NSW

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Job Details

Qualifications

CI/CD
Azure
Deployment
DevOps
Google Cloud Platform
AWS
Terrafrom
Scripting
APIs
AI
Leadership
SDLC

Full Job Description

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.

Future Secure AI builds AI Co‑Workers that automate real operational work across enterprise environments. We design systems that move beyond prototypes into secure, scalable, production platforms. Architecture quality and design discipline are foundational to our success.

We are looking for a Solution Architect to design, shape, and guide the technical solutions underpinning AI Co‑Workers across complex client and platform environments. This is a hands‑on architecture role for someone who enjoys translating business needs into robust, cloud‑native, AI‑enabled systems.

The role

Define end‑to‑end solution architectures that map client business requirements to scalable technical designs
Design and guide Kubernetes‑based architectures supporting AI and application workloads
Lead solution design across cloud infrastructure, application services, data flows, and integrations
Work hands‑on with public cloud services to shape deployable, production‑ready solutions
Collaborate with engineers, AI developers, and platform teams to ensure architectures are implemented as designed
Support architecture workshops and design sessions with internal teams and client stakeholders
Ensure solutions align with SDLC practices from design through build, test, deployment, and operation
Design application and system architectures spanning APIs, services, and multi‑component systems
Contribute to platform engineering efforts that enable teams to build and operate AI Co‑Workers efficiently
Balance technical excellence with pragmatism, cost, scalability, security, and delivery speed

Must have criteria

Hands‑on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes
Hands‑on experience with at least one public cloud provider such as AWS, Azure, or Google Cloud
Professional experience using at least two programming or scripting languages such as Python, Java, Go, C#, JavaScript/TypeScript, Ruby, Bash, or PowerShell
Experience working across the full software development lifecycle including CI/CD, testing, deployment, and operation
Demonstrated Solution Architect experience defining solutions that translate business needs into technology designs
Application architecture experience designing services, APIs, and multi‑component software systems
Platform engineering experience building or operating platforms that enable other teams or customers

Should have criteria

Hands‑on Terraform experience for infrastructure provisioning and automation
Hands‑on Helm experience for Kubernetes application deployment
More than five years of relevant professional experience
Exposure to enterprise or domain‑wide architecture, including standards, roadmaps, or governance
Strong stakeholder management skills with senior or cross‑functional stakeholders
Experience contributing to complex or high‑stakes engagement scenarios such as large programmes, multi‑vendor delivery, or regulated environments

Preferable criteria

Relevant certifications such as AWS, Azure, GCP, CKA, CKAD, DevOps, DevSecOps, or programming certifications
Strong DevOps or DevSecOps experience, including CI/CD ownership, security practices, and infrastructure automation as a primary responsibility

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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