Senior Cloud & AI Platform Engineer
Matrix Global
- Toronto, ON
- Permanent
- Full-time
- Design and implement Azure cloud networking architectures, including VNets, private endpoints, firewalls, routing, and hybrid connectivity.
- Build secure and scalable cloud platforms incorporating Azure Identity, RBAC, Key Vault, managed identities, and PKI.
- Implement enterprise‑grade security and governance controls suitable for regulated environments.
- Build and maintain end‑to‑end ML pipelines (data ingestion → training → deployment → monitoring).
- Develop MLOps / AIOps automation, integrating model registries, monitoring, and CI/CD.
- Work with GenAI frameworks such as LangChain, Semantic Kernel, vector databases, and RAG pipelines (nice to have).
- Collaborate with data science teams to deploy models into production securely and reliably.
- Build fully automated CI/CD pipelines using GitHub Actions, Azure CLI, Terraform.
- Develop and maintain reusable IaC modules for infrastructure provisioning.
- Create APIs and automation tools using Python to orchestrate workflows and platform capabilities.
- Implement enterprise controls including RBAC, managed identities, encryption standards, PKI, and secrets management.
- Ensure compliance within highly regulated industries (banking experience is a plus).
- Apply least‑privilege principles, auditability, and proper separation of duties.
- Work closely with architecture, operations, and security teams.
- Communicate complex technical concepts clearly, avoiding buzzwords or vague descriptions.
- Mentor engineering teams in best practices for cloud, DevOps, AI/ML, and GenAI.
- Azure Cloud (expert-level): design, networking, security, automation.
- Terraform / IaC: hands‑on module development (not theoretical).
- CI/CD: GitHub Actions, Azure DevOps, pipelines, secrets management.
- Python: APIs, automation scripts, integration services.
- MLOps / AIOps: model lifecycle pipelines, monitoring, A/B testing, telemetry.
- Security: RBAC, Key Vault, PKI, certificates, identity governance.
- Automation: Azure Automation, Functions, CLI scripting.
- GenAI (nice to have): LangChain, Semantic Kernel, embeddings, vector stores.
- Experience building AI platforms, not just models.
- Ability to explain architecture clearly with depth—not surface-level terminology.
- Experience working in regulated industries, ideally financial services.
- Demonstrated ability to solve problems independently (no external helpers during evaluations).
- Has built an AI/ML platform, not just models.
- Deep expertise in Azure, Terraform, CI/CD, security, and automation.
- Real production experience with GenAI/RAG solutions.
- Strong understanding of banking/regulated environments.
- Communicates architecture clearly, logically, and with real depth.