Lead Infrastructure Engineer-Capacity Management

Job Responsibilities

• Analyze capacity and performance data across infrastructure and applications
• Create capacity management reports, identify infrastructure hotspots, and recommend upgrades/downgrades
• Design, build, and maintain analytical models for capacity forecasting, risk analysis, and other ad-hoc business needs
• Deliver increased automation and tooling capability across capacity management
• Collaborate with internal stakeholders to gather and understand capacity requirements
• Present modeling recommendations to technical and non-technical audiences
• 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
• 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
• Applies statistical techniques to analyze data and support decision-making
• Develops and applies time series models such as ARIMA, Prophet, or similar methods to forecast trends and patterns in data

Required Qualifications, Capabilities, And Skills

• Formal training or certification in infrastructure engineering concepts, and 5+ years applied experience
• Expertise in infrastructure operations and technical infrastructure including virtual servers, Kubernetes, and Pivotal Cloud Foundry (PCF)
• Expertise in data analysis, reporting, and visualization, including Excel, Tableau, and Grafana
• Experience in capacity management and designing and implementing capacity models to forecast resource needs and optimize data platform performance
• Experience using monitoring and observability tools such as BMC Truesight, Dynatrace, AppDynamics, or similar platforms to analyze system performance and ensure reliability
• 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
• Knowledge of statistical techniques to analyze data and support decision-making
• Experience coding with one or more modern programming languages such as Java or Python
• Experience developing and applying time series models such as ARIMA, Prophet, or similar methods to forecast trends and patterns in data

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.