SME - Azure & Cloud Security, Palo Alto Firewall

Job Summary

MCP SaaS Activation & Azure Configuration

• Activate and configure the MCP SaaS platform as the central AI orchestrator within the Azure environment

• Integrate MCP with existing Azure infrastructure, identity management, and cloud services

• Design and implement connector architecture to enable seamless integration of AI services and data sources

• Validate platform stability, performance, and scalability to support production-grade workloads

Security, Permissions & Governance Baseline

• Define and implement role-based access control (RBAC) and permission structures within MCP

• Establish security baselines aligned with enterprise standards (data classification, encryption, access policies)

• Configure comprehensive logging, monitoring, and audit trail capabilities

• Set up the governance framework — approval workflows, policy enforcement, and compliance checkpoints

• Collaborate with the internal security team to ensure all configurations meet Smurfit Westrock risk requirements

Service Now Domain & Lighthouse Use Case (TLO) Onboarding

• Create the initial Service Now domain within the MCP framework to enable service management integration

• Configure the TLO (Transport & Logistics Operations) use case as the lighthouse — the first production AI service to be industrialized through the platform

• Support the end-to-end technical path from prototype to production-ready service for the TLO use case

• Document the service mapping, runbook, and SLA framework to be reused in Phase 2 industrialization

Observability & Platform Readiness

• Implement monitoring dashboards and alerting for platform health, usage, and cost visibility

• Ensure the platform is instrumented for Phase 2 handover — supporting the internal team's ability to operate independently

• Produce clear technical documentation: architecture diagrams, configuration guides, and operational runbooks

Key Responsibilities

Technical Expertise

• Proven hands-on experience with MCP (Model Context Protocol) — SaaS deployment and orchestration

• Strong Azure cloud expertise: Azure OpenAI Service, Azure API Management, Azure Active Directory, networking

• Experience configuring AI orchestration platforms and connector-based integration architectures

• Deep understanding of enterprise security patterns: RBAC, OAuth, secrets management, logging & auditing

• Familiarity with Service Now integration and ITSM domain configuration is advantageous

Delivery & Consulting

• Track record of delivering AI platform or integration projects in enterprise environments

• Ability to work embedded with an internal engineering team — pragmatic, hands-on, delivery-focused

• Strong documentation skills: able to produce architecture artefacts and operational guides to a production standard

• Experience working in cross-functional environments with security, governance, and business stakeholders

Profile & Soft Skills

• Senior-level consultant with 7+ years of relevant technical experience

• Based in the Netherlands (NLD) — on-site availability required for Phase 1

• Fluent in English; Dutch is a plus

• Self-starter who can hit the ground running with minimal onboarding overhead

• Clear communicator — able to translate technical decisions into business language for stakeholders

Skill Requirements

Technical Expertise

• Proven hands-on experience with MCP (Model Context Protocol) — SaaS deployment and orchestration

• Strong Azure cloud expertise: Azure OpenAI Service, Azure API Management, Azure Active Directory, networking

• Experience configuring AI orchestration platforms and connector-based integration architectures

• Deep understanding of enterprise security patterns: RBAC, OAuth, secrets management, logging & auditing

• Familiarity with Service Now integration and ITSM domain configuration is advantageous

Delivery & Consulting

• Track record of delivering AI platform or integration projects in enterprise environments

• Ability to work embedded with an internal engineering team — pragmatic, hands-on, delivery-focused

• Strong documentation skills: able to produce architecture artefacts and operational guides to a production standard

• Experience working in cross-functional environments with security, governance, and business stakeholders

Profile & Soft Skills

• Senior-level consultant with 7+ years of relevant technical experience

• Based in the Netherlands (NLD) — on-site availability required for Phase 1

• Fluent in English; Dutch is a plus

• Self-starter who can hit the ground running with minimal onboarding overhead

• Clear communicator — able to translate technical decisions into business language for stakeholders

Other Requirements

Technical Expertise

• Proven hands-on experience with MCP (Model Context Protocol) — SaaS deployment and orchestration

• Strong Azure cloud expertise: Azure OpenAI Service, Azure API Management, Azure Active Directory, networking

• Experience configuring AI orchestration platforms and connector-based integration architectures

• Deep understanding of enterprise security patterns: RBAC, OAuth, secrets management, logging & auditing

• Familiarity with Service Now integration and ITSM domain configuration is advantageous

Delivery & Consulting

• Track record of delivering AI platform or integration projects in enterprise environments

• Ability to work embedded with an internal engineering team — pragmatic, hands-on, delivery-focused

• Strong documentation skills: able to produce architecture artefacts and operational guides to a production standard

• Experience working in cross-functional environments with security, governance, and business stakeholders

Profile & Soft Skills

• Senior-level consultant with 7+ years of relevant technical experience

• Based in the Netherlands (NLD) — on-site availability required for Phase 1

• Fluent in English; Dutch is a plus

• Self-starter who can hit the ground running with minimal onboarding overhead

• Clear communicator — able to translate technical decisions into business language for stakeholders