Senior Lead Infrastructure Engineer - Capacity & Scalability Management

Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company.

Among top performers, you can make a direct and meaningful impact.

As a Senior Lead Infrastructure Engineer - Capacity & Scalability Management at JPMorganChase within the Consumer and Community Banking team, you exhibit both depth and breadth of knowledge regarding software, applications, and technical processes across multiple technical disciplines.

You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications.

Job responsibilities



* Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.


* Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.


* Own the end-to-end Capacity Management strategy and operating model for critical CCB applications (standards, KPIs, governance, continuous improvement).


* Lead cross-functional capacity planning and risk management across Application, Infrastructure, and SRE; proactively identify risks and drive remediation to closure; Set and enforce capacity governance across platforms and applications; chair/co-lead working groups to align priorities and remove blockers.


* Modernize capacity processes, data flows, and tooling by architecting and delivering scalable, resilient solutions; influence platform roadmaps as needed.


* Advance observability and analytics through consolidated dashboards, real-time KPIs, forecasting, peak calendars/event flags, and SLA-backed alerting.


* Drive automation via governed runbooks (approvals/rollback) for actions such as headroom uplift, throttling non-critical load, and pool rebalancing.


* Build and operationalize AI skills/agents to streamline recurring workflows (risk detection, RFIs/evidence, remediation tracking) with controls, auditability, and measurable outcomes.


* Use enterprise-authorized AI to accelerate monitoring, analysis, and documentation, validating outputs and handling data per sensitivity/security requirements.


* Apply reuse-first, AI-assisted approaches to identify recurring risks and improve remediation workflows, ensuring resiliency/security-aligned validation.


* Produce executive-ready reporting and communicate portfolio status, risks, and recommendations; translate technical findings into business impact; Lead multiple parallel workstreams with clear milestones and accountability, while mentoring engineers and championing cost/resilience/performance trade-offs.

Required qualific...