As a Senior Lead Infrastructure Engineer in Consumer and Community Banking at JPMorganChase, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. In this role you will elevate our Capacity Management practice and ensure mission critical applications have the right technology capacity at the right time.
Job Responsibilities
- Own the end‑to‑end Capacity Management strategy and operating model for critical CCB applications, including standards, KPIs, governance, and continuous improvement.
- Lead cross‑functional capacity planning and risk management across Application, Infrastructure, and SRE teams; proactively identify risks and drive remediation to closure.
- 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.
- Set and enforce capacity governance across platforms and applications; chair or co‑lead working groups to align priorities and remove blockers. Architect and implement scalable, resilient solutions to modernize capacity processes, data flows, and tooling; influence platform roadmaps where needed. Advance observability and analytics: design consolidated views/dashboards, real‑time KPIs, forecasts, peak calendars, event flags, and SLA‑backed alerting.
- Drive automation: define and implement governed runbooks (with approvals and rollback) for actions such as uplift headroom, throttling non‑critical load, and pool rebalancing.
- Lead quarterly and event‑based capacity planning; ensure resilient workload placement across shared/exempt platforms and multi‑region/cloud environments.
- Establish data standards and quality controls; align capacity tooling with adjacent systems to ensure consistent, reconciled reporting.
- Produce executive‑ready reporting and communicate portfolio status, risks, and recommendations to senior stakeholders; translate technical findings into business impact. Champion cost, resilience, and performance trade‑offs; partner with platform owners, finance, and risk/compliance to optimize outcomes.
- Run parallel workstreams with clear prioritization, milestones, and measurable outcomes; manage dependencies and drive accountability across teams.
- 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.
- Mentor and develop engineers; set high standards for documentation, operational excellence, diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on Infrastructure Engineering concepts and 5+ years applied experience . Relevant experience with demonstrated leadership of complex, cross‑functional programs.
- Proven expertise in managing or governing technology capacity (or adjacent ITIL processes) at enterprise scale.
- Strong understanding of infrastructure KPIs (CPU, memory, I/O, network), application performance, and monitoring/observability tools.
- 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.
- Hands‑on experience building and leveraging dashboards and analytics (e.g., Grafana, Dynatrace, ELK) and BI platforms (Power BI, Qlik, Tableau) for multi‑source data analysis.
- Proficiency with one or more scripting/programming languages (e.g., Python, Go, JavaScript) to automate data pipelines, reporting, and runbooks.
- Experience leading the lifecycle of cross‑functional projects, integrating automated systems, and delivering resilient, scalable solutions.
- Cloud experience (e.g., AWS) with the ability to design, develop, and deploy secure, scalable infrastructure; familiarity with multi‑region patterns and SRE practices.
- Exceptional communication and stakeholder management; able to influence decisions, build partnerships, and drive change across diverse teams.
- Track record of improving IT processes to maximize efficiency and user experience; strong documentation discipline and governance mindset.