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Bachelor's degree in Computer Science, Software Engineering, a related technical discipline, or equivalent practical experience.
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Solutions Architect

Future Secure AI
Toronto, ON

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Détails du poste

Compétences

CI/CD
Infrastructure infonuagique
Azure
Go
Informatique
Génie logiciel
Kubernetes
Déploiement de logiciel
DevOps
Ingénierie
C#
Google Cloud Platform
Java
Bash
AWS
Baccalauréat
JavaScript
Terraform
Scriptage
Ruby
Développement logiciel
APIs
Exigences d'affaires
Architecture de solutions
Leadership
TypeScript
Python
PowerShell
SDLC

Description complète du poste

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 Solution Architect to join our delivery team. You will own end-to-end solution design across client engagements — translating complex business requirements into scalable, production-ready technical architectures. You will work closely with our customer stakeholders, platform engineers, SREs, DevOps engineers and AI developers to ensure that what gets designed gets built, and built right.

Responsibilities

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, weighing cost, scalability, security, and delivery speed

Minimum Qualifications

Bachelor's degree in Computer Science, Software Engineering, a related technical discipline, or equivalent practical experience
7+ years of professional experience in a technical role spanning solution architecture, platform engineering, cloud infrastructure, or software development
Demonstrable experience delivering production-grade solutions on at least one major public cloud platform (AWS, Azure, or Google Cloud)
Proven ability to design and communicate complex technical architectures to both technical and non-technical audiences
Experience in a customer-facing technical role, engaging directly with client stakeholders to understand requirements, present solutions, and drive alignment
Hands-on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed Kubernetes
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
Application architecture experience designing services, APIs, and multi-component software systems
Hands on experience with relevant technologies like Terraform for infrastructure provisioning and automation and Helm for Kubernetes application deployment

Preferred Qualifications

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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