Lead Infrastructure Engineer - Microsoft 365 Office Client Engineer

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.