Application Packaging Engineer

EXPERIENCE & QUALIFICATIONS

• 5+ years in Windows Application Management
• Strong hands-on experience with Microsoft Intune, Microsoft Entra, and modern application packaging standards such as MSIX.
• PowerShell scripting proficiency; experience applying AI-assisted development (Claude Code or equivalent) to automate packaging and configuration tasks.
• Deep understanding of Windows application compatibility and performance; experience with deployment toolsets and update management at enterprise scale.
• Practical experience designing and deploying agentic workflows and AI automation pipelines; able to identify where autonomous task execution adds the most value in an application lifecycle.
• Hands-on with AI platforms (Claude, ChatGPT, Copilot) and Claude Code; able to design prompt structures, build reusable Skills, configure AI Projects, and deploy agentic workflows that encode team knowledge and scale delivery.

Roles & Responsibilities

• Manage and configure Lenovo drivers and Windows applications via Intune and Microsoft Entra, supporting cloud-native and hybrid endpoint environments.
• Facilitate modernisation and automation of application and driver deployments end-to-end and the deployment and integration of Winget package manager into deployment and update processes.
• Build and maintain modern application packages adhering to standards and best practice; manage the full packaging lifecycle from requirements through testing.
• Leverage AI agents and agentic workflows to automate application and update delivery, accelerate testing cycles, and reduce repetitive manual effort across the application lifecycle.
• Script and automate using PowerShell, with AI-assisted coding to accelerate development and improve quality.
• Contribute to continuous improvement of squad tooling, workflows, and delivery practices.

You are good at:

• Diagnoses and resolves complex technical issues independently, with a bias for automation over manual fix.
• Works effectively across a distributed global team; self-directed and comfortable operating under pressure.
• Curious about AI and actively applies it experimenting with new tools, sharing what works, and raising the bar for the squad.
• Detail-oriented and data-driven; uses metrics to prioritise and measure outcomes.
• Clear communicator; able to translate technical detail for non-technical stakeholders.

Youll work with:

• PP Portfolio product squads, Architecture, QA, and Data Analytics across a global user community. Flexible hours required.