Requirements
Lead the development workstream on D365 F&SCM engagements — owning X++ extensions, custom services, data entities, and complex integrations end-to-end.
Design and build Copilot Studio plugins, Azure OpenAI components, and AI-powered F&O extensions that move client outcomes — not science-project work.
Own integration design and build across Dual-write, virtual entities, OData, custom services, Azure Service Bus, Event Grid, Azure Functions, and Logic Apps.
Run code reviews as a teaching tool — including AI-generated code review discipline that catches the silent technical debt GitHub Copilot can introduce.
Partner with the Functional team to translate functional design into technical design — and push back where the functional design has missed a technical implication.
Drive Azure DevOps hygiene — branching strategy, automated builds, release pipelines, LCS asset management, and test automation.
Mentor Technical Consultants through paired build, code reviews, and a structured development plan toward Sr. Technical Consultant.
Build and contribute to the practice's technical IP library — accelerators, extension templates, integration patterns, and AI build references.
Lead technical due diligence on pursuit-stage discovery — integration discovery, infrastructure sizing, and AI build effort estimation.
Own performance, security, and code-quality remediation across the build phase — not as a final-week scramble.
Lead cutover technical activities — data migration runs, integration cutover, and post-cutover stabilization.
Represent the practice externally — Microsoft community contributions, internal brown-bags, and (for top performers) external speaking opportunities
Preference
9+ years experience in enterprise development with 4+ years in D365 F&O (X++).
Minimum 2 years as Technical Consultant on D365 F&O.
Delivered 3+ full lifecycle implementations, including one as Lead Developer/workstream owner.
Exposure to AI integrations (Copilot Studio/Azure OpenAI) strongly preferred.
Bachelor’s degree in Computer Science/Engineering or related field; GitHub portfolio is a plus.
Mandatory certifications: MB-500, MB-300; AZ-204 (preferred/in progress); AI-102 within 6 months.
Strong expertise in X++ development (extensions, CoC, performance tuning).
Experience in integration architecture (OData, APIs, Service Bus, Azure Functions, Logic Apps).
Proficiency in Azure services (App Service, Functions, Key Vault, Entra ID).
Hands-on with DevOps (Azure DevOps, CI/CD, LCS, automated builds/testing).
Strong knowledge of data integration & entity design for large-scale systems.
Experience with Power Platform (Power Apps, Power Automate, connectors).
Exposure to Microsoft Fabric, Synapse, and data lakehouse patterns.
Strong focus on security, compliance, and testing discipline.
Capability to build and manage AI solutions (Copilot plugins, Azure OpenAI, RAG, AI Builder).
Contribution to AI/engineering IP, reusable components, and code reviews with AI governance.
Strong soft skills: code quality mindset, coaching ability, collaboration across geographies, and architectural understanding.
