Senior Cloud & AI Platform Engineer

Matrix Global

About The Position

We are seeking a highly skilled Senior Cloud & AI Platform Engineer with deep hands‑on experience in Azure cloud networking, automation, AI/ML platform engineering, and GenAI technologies . This role requires someone who can design and build end-to-end cloud and AI systems—not just deploy components. Candidates must demonstrate genuine, independent technical capability without the use of external “helpers” during interviews or technical screenings.

Requirements

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.
Professional Experience building AI platforms , not just models.
Ability to explain architecture clearly with depth—not surface-level terminology.
Demonstrated ability to solve problems independently (no external helpers during evaluations).

Nice To Haves

GenAI (nice to have) : LangChain, Semantic Kernel, embeddings, vector stores.
Experience working in regulated industries , ideally financial services.

Responsibilities

Cloud Architecture & Engineering 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.
AI/ML & GenAI Platform Engineering 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.
Automation, CI/CD & Infrastructure as Code 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.
Security & Compliance 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.
Cross‑Functional Leadership 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.