Azure Cloud Engineer (Data Mesh and AI Platforms)

Quick Facts

• Role: Azure Cloud Engineer for the Data Mesh and AI Platforms team

• Focus: Secure, automated, reusable Azure infrastructure and platform capabilities (data & AI)

• Work style: Hybrid (up to 40% remote; full remote not allowed)

Description

Hands-on Azure Cloud Engineer role within the Data Mesh and AI Platforms team, responsible for designing, building, testing, and improving Azure platform patterns, automation, and operational controls for safe provisioning of modern data and AI solutions in a regulated banking environment.

Responsibilities

• Build, configure, and improve Azure infrastructure foundations using Terraform and automated delivery pipelines

• Create reusable Infrastructure-as-Code modules for subscriptions, resource groups, networking, Azure RBAC, managed identities, secrets, logging, monitoring, and policy guardrails

• Support secure Azure landing-zone patterns (management-group/subscription structure, hub-and-spoke networking, private endpoints, Azure Firewall, NSGs, environment isolation)

• Create and maintain CI/CD pipelines for provisioning, validation, testing, deployment, and lifecycle management

• Implement identity and access patterns using Microsoft Entra ID, federation, managed identities, least-privilege Azure RBAC, and secure access workflows

• Support data and AI platform enablement for services including Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, Azure Data Factory, Event Hubs, Azure Storage, Azure Functions, and AKS

• Build observability and operational controls using Azure Monitor, Log Analytics, Application Insights, alerting, dashboards, runbooks, and production-readiness checks

• Translate platform priorities and standards into backlog items, implementation plans, technical documentation, and reusable engineering patterns

• Collaborate with cybersecurity, governance, and architecture teams to meet security, compliance, and operational expectations

• Contribute to code reviews, pattern reviews, testing practices, and continuous improvement

Requirements

• Several years of experience in cloud engineering, infrastructure engineering, platform engineering, DevOps, or similar roles

• Practical experience building or operating production-grade Azure infrastructure

• Strong Terraform experience with reusable module design and infrastructure lifecycle management

• Solid understanding of Azure networking and Microsoft Entra ID/Azure RBAC security controls (least privilege)

• Experience with CI/CD tools and modern software engineering practices (code review, version control, testing, documentation)

• Interest/working knowledge of Azure data and AI services (Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, etc.)

• Ability to operate in a regulated enterprise environment emphasizing compliance, resilience, and auditability

Benefits

• Full-time permanent role with a hybrid working arrangement (up to 40% remote; full remote not allowed)

• Opportunity to build next-generation cloud-native data and AI platform capabilities with strong focus on security, automation, and operational controls