Cloud Platform Engineer Delivery & Azure Marketplace | Agile Insights | Platform Services
| Remote / Hybrid
About the Role
We are looking
for a Cloud Platform Engineer to deliver Azure platform projects for customers
and build publishable Azure Marketplace assets that package Agile Insights’
repeatable IP into transactable offers. This is a hands-on role where you will
take the modules, patterns, and pipelines maintained by the Cloud Centre of
Excellence and apply them to real customer engagements, while also authoring
and maintaining the ARM/Bicep templates, UI definitions, and deployment
workflows required to list and operate solutions in the Azure Marketplace.
Your delivery
work directly generates revenue across four go-to-market motions spanning
enterprise AI transformation, GitHub modernisation, Azure migrations, and AI
platform deployments. Your Marketplace work converts that delivery experience
into scalable, self-service offers that extend the practice’s reach.
What You’ll Do Project Delivery
- Deliver Azure infrastructure
for customer engagements, consuming CCoE-approved modules, patterns, and
pipeline templates to deploy landing zones, networking, identity, and workload
infrastructure
- Translate customer requirements
into IaC configurations, working within the Modules → Patterns → Projects
supply chain and contributing improvements back to the CCoE library
- Support Azure migrations as an
IaC subject matter expert, building and configuring the target-state
infrastructure for lift-and-shift, re-platform, and re-architect workloads
- Deploy and configure AI Foundry
landing zone infrastructure, including compute, networking, and identity
prerequisites for Azure OpenAI and multi-model deployments
- Ensure all customer deployments
include consistent resource tagging for cost attribution, ownership, and
lifecycle management
- Configure Azure Monitor alerts
and diagnostic settings as standard components of every customer deployment
- Participate in handover to
operations, ensuring deployed infrastructure is documented, observable, and
supportable
Azure Marketplace Assets
- Author and maintain Azure
Marketplace offer packages, including mainTemplate.json / Bicep,
createUiDefinition.json, and nested/linked templates
- Build and test ARM deployment
templates that meet Azure Marketplace certification requirements (resource
provider registration, API version constraints, deployment validation)
- Develop custom UI definitions
that provide guided deployment experiences for customers provisioning Agile
Insights solutions from the Marketplace
- Package repeatable engagement
deliverables (landing zones, migration factories, AI platform deployments) as
transactable or contact-based Marketplace offers
- Maintain CI/CD pipelines for
Marketplace asset validation, packaging, and publishing via Partner Center
- Collaborate with peers to
ensure Marketplace templates consume the same approved modules and patterns
used in direct delivery
AI-Assisted Development
- Use Claude Code and GitHub
Copilot as primary coding tools for all IaC authoring, review, and refactoring
- Develop and maintain reusable
AI prompt libraries that enable consistent, standards-compliant code generation
- Write and curate repo-context
and bootstrap files so AI agents can operate effectively across the ecosystem
- Govern and review AI-generated
Terraform and Bicep output to ensure compliance with CCoE standards
CI/CD & Delivery Capability
- Consume and extend reusable
GitHub Actions workflow templates for infrastructure deployment, pattern
publishing, and application delivery
- Build deployment pipelines
specific to Marketplace offer validation and publishing workflows
- Continuously improve deployment
pipelines to reduce cycle time, increase reliability, and strengthen security
posture
Azure Platform
- Design and implement landing
zones, VNet peering topologies, private endpoint configurations, and shared
services platforms for customer environments
- Advise on Azure resource
selection, sizing, and cost optimisation across subscriptions and management
groups
What You BringEssential
- Demonstrable proficiency using
Claude (Claude Code / Claude API) and GitHub Copilot as primary development
tools, with the ability to effectively prompt, review, and govern AI-generated
code
- Strong working knowledge of
both Terraform and Bicep — you must be able to read, review, and correct
AI-generated IaC with confidence
- Broad experience with the Azure
platform: subscriptions, management groups, networking (VNets, peering, private
endpoints, DNS), identity (Entra ID, managed identities), compute, storage, and
PaaS services
- Hands-on experience with Azure
migrations — whether lift-and-shift, re-platform, or re-architect approaches
- Solid understanding of CI/CD
principles and practical experience with GitHub Actions or equivalent pipeline
tooling
- Familiarity with the Azure
Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF)
- Experience writing and
maintaining governance documentation and technical standards
- Understanding of Azure resource
tagging strategies and Azure Monitor configuration for operational alerting
Desirable
- Tertiary degree in Computer
Science (CS) or Software Engineering (SE)
- Microsoft Azure Solutions
Architect Expert certification or similar Microsoft certifications
- Microsoft Azure Virtual Desktop
(AVD) Specialty certification
- Experience with Azure
Marketplace offer publishing, including ARM template certification, Partner
Center workflows, and createUiDefinition.json authoring
- Experience with Azure AI
Foundry — including model hosting, Azure OpenAI deployments, safety guardrails,
and multi-model platform patterns
- Experience with OCI registries
and artefact distribution for IaC modules
- Knowledge of Azure Policy,
Defender for Cloud, and policy-as-code approaches
- Exposure to container-based
workloads (Container Apps, Functions on Flex Consumption)
- Experience with Azure Virtual
Desktop environments and related infrastructure
- Experience building internal
developer platforms or self-service infrastructure tooling
- Familiarity with MCP (Model
Context Protocol) or similar AI-agent integration patterns
How We Work
This role is
unique in that AI assistants are not an afterthought — they are the primary
interface for coding. You will spend your time directing, reviewing, and
governing AI output rather than writing every line by hand. Success in this
role means treating AI as a force multiplier while applying your Azure platform
expertise and engineering judgement to ensure quality, security, and
compliance.
The Platform
Services practice operates across four go-to-market motions: Agentic SDLC,
GitHub Enterprise AI-Ready SDLC, Agile Migration Factory, and Azure AI
Deployments. You will deliver customer infrastructure across these motions and
convert repeatable patterns into Azure Marketplace offers that scale the
practice’s reach beyond direct engagements.
