Lead Infrastructure Engineer - Microsoft 365 Office Client Engineer

Promote end to end Office client packaging, testing, and releases while automating safe, scalable updates and owning all technical issues.

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies. As a Lead Infrastructure Engineer at JPMorganChase within Employee Platforms, you own the packaging, validation, and release execution for Office client software across a global virtual and physical desktop estate. In the Microsoft 365 Office Client Engineering space, you own the packaging, validation, and release execution for Office client software across a global virtual and physical desktop estate. You are accountable for getting validated updates and new capabilities onto the desktop safely, at scale, and on a predictable schedule. This is a hands-on engineering role with release accountability. You will build the test and deployment pipeline that turns a multi-week manual cycle into a repeatable run, define the ring strategy and go/no-go criteria that protect line-of-business add-ins and macros, and act as the technical escalation point with Microsoft. The environment is heavily customized and tightly controlled, so speed has to be earned through automation, evidence, and a rollback path that works. Job Responsibilities Own engineering, deployment, patching, validation, and support of Office 365 Apps across enterprise desktop environments. Lead release planning and execution using pilot groups, deployment rings, quality gates, and rollback procedures. Automate deployment, testing, monitoring, and operational processes using scripting and infrastructure tools. Troubleshoot complex application and endpoint issues using logs, telemetry, and root-cause analysis. Serve as the technical escalation point for software releases, infrastructure incidents, and vendor support engagements. Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements. Partner with application, security, and infrastructure teams to ensure compatibility, compliance, and operational readiness. Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations. Required Qualifications, Capabilities, and Skills Formal training or certification on infrastructure engineering concepts and 5+ years of applied experience. Deep experience with Microsoft Office 365 deployment, servicing, configuration, and support. Strong expertise with Microsoft Configuration Manager (MECM/SCCM), Intune, and endpoint management technologies. Experience managing enterprise software releases, deployment governance, validation, and rollback planning. Proven troubleshooting and root-cause analysis skills across endpoint and infrastructure platforms. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations. Deep knowledge of one specific infrastructure technology and scripting languages. Preferred Qualifications, Capabilities, and Skills Experience with Microsoft 365 Copilot and AI-enabled workplace technologies. Experience supporting Citrix, Azure Virtual Desktop, or similar virtual desktop environments. Experience with application compatibility testing, add-ins, and enterprise software packaging. Experience using telemetry, monitoring, and analytics tools to drive release and operational decisions. Experience implementing automation that improves operational efficiency and reduces manual effort.