Job Description

VirtualResource (VR)

is a boutique consultancy supporting companies to optimise their HR systems and

Workday

. We strive to be the go-to company that partners with businesses to optimise their HR technology landscape.

Our people are our most important asset

We recognise the need for a committed, skilled and loyal team and strive to create a working environment that is flexible, caring and considerate of all needs. We attract the best people and reward them appropriately Staff development and upskilling are core to what we do

What is the role about

We are looking for a

Microsoft Developer

with strong experience in

Power Platform

and growing exposure to

Azure AI

.


The role is part traditional Microsoft developer (building, integrating, scripting, managing CI/CD), and part modern engineer (leveraging

Power Platform, Copilot Studio, and Azure AI Foundry

to deliver smart business solutions).


You'll design, build, and support applications, automations, and AI-powered agents across the full lifecycle -- from

requirements, design, and development to testing, deployment, monitoring, and support

.

Key responsibilities will include:

Microsoft Development & Integration

Build and maintain

apps, automations, and data integrations

using Power Apps, Power Automate, and APIs. Use

scripting (Power Fx, PowerShell, Python)

to extend solutions and ensure developer-grade practices. Manage

application lifecycle

: version control, environments, DLP policies, solution packaging, and CI/CD pipelines. Write

unit and integration tests

, troubleshoot logs/flow runs, and support incident response.

Power Platform Engineering

Enhance apps, flows, and reports with

SharePoint, Dataverse, Teams, Outlook, and Excel integrations

. Create and maintain

Power BI datasets and reports

, implementing security (RLS) and data modelling. Manage

connectors, connection references, and environment variables

.

Azure AI & Copilot Studio

Configure and support

Azure AI Foundry projects

(RBAC, networking, quotas, monitoring, cost controls). Assist with

AI agent development

: tool registration, retrieval-augmented generation (RAG), enterprise data/API integration. Contribute to

model deployments

(Azure OpenAI, catalogue models) and ensure responsible AI practices are applied. Participate in

evaluations, telemetry, and monitoring

to improve reliability and safety.

Governance, Security & Support

Apply

least-privilege RBAC

and manage service principals and managed identities. Follow organisational

AI safety, content filters, and governance policies

. Document fixes, create runbooks, and contribute to training materials

As a member of the VR team, you'll have the flexibility to manage your own day -- what matters most is meeting your objectives and supporting your colleagues effectively. You'll collaborate with a mix of on-site and remote team members, staying connected through instant messaging, video calls, and our ticketing system. Strong communication and time management skills will be key to your success in this role.

What skills are we looking for?

Our roles are remotely based (even pre-Covid), meaning you will be working from your home office, connecting with your client and team on a daily basis.


To be successful in this type of environment, you will need to have the ability to communicate effectively (in English) with cross-functional teams, explain complex concepts in easy, understandable terms, and proactively drive process improvements. You will need to be comfortable with video calls and be proactive in keeping communication channels open with your client and team.

Must have Skills Required

3+ years

hands-on with Power Platform (Power Apps, Power Automate, Power BI fundamentals, Copilot Studio). Solid

Microsoft developer background

: scripting (Power Fx, PowerShell, Python), APIs, JSON. Basic

Azure

knowledge: Entra ID, RBAC, Key Vault, storage, networking concepts. Familiarity with

Azure AI Foundry

(projects, agents, deployments, monitoring). Understanding of

agentic architectures

(model + instructions + tools; server-side orchestration).

Version control & CI/CD exposure

(Azure DevOps, GitHub). Strong troubleshooting, problem-solving, and documentation skills. Fluency in English (spoken, written, and read).

Beneficial but not mandatory

Experience with

Azure AI Search, prompt engineering, RAG patterns

. SharePoint/Dataverse integration expertise. Familiarity with

Application Insights, KQL, or log-based alerting

. Cost management for models and API consumption.

Microsoft Certifications

(PL-900/PL-200; AI-900/AI-102).

Education

* Bachelor's in

Information Systems/Computer Science/Engineering