Infrastructure Engineer III - Capacity and Scalability

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Consumer & Community Banking

Infrastructure Engineer III role focused on managing and governing capacity planning and scalability for critical applications within a financial services organization. The role involves partnering with various teams, identifying risks, developing scaling plans, and ensuring end-to-end monitoring, with an emphasis on utilizing AI capabilities to enhance monitoring and analysis.

What you'd actually do

  1. Execute the daily activities supporting the standard Capacity process for the critical applications in the line of business.
  2. Partner with Application and Infrastructure teams to identify potential capacity risks and govern remediation statuses of those risks.
  3. Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  4. Assist partners with recommendations on Capacity plans, where needed. Develop and analyze data to create plans for scaling resources efficiently.
  5. Apply technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data/systems running at scale; and ensures end to end monitoring of applications.

Skills

Required

  • Formal training or certification in infrastructure engineering concepts and 3+ years applied experience
  • Strong knowledge of infrastructure disciplines such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments.
  • Practical experience with managing or governing technology Capacity or other ITIL processes.
  • Working knowledge of application’s infrastructure KPI’s (CPU, Memory, etc.) and monitoring tools.
  • Experience with creating and leveraging dashboards (Grafana, Dynatrace, ELK,.) for visualization of data.
  • Experience on business intelligence (BI) tools like Microsoft Power BI, Qlik, Tableau etc. that allow users to explore and analyze data from multiple sources.
  • Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems.
  • Ability to navigate effectively, building partnerships with exceptional communication skills.
  • Experience improving IT processes to maximize efficiency and create positive user experience.
  • Strong knowledge of one or more scripting languages (e.g., Go, JavaScript, Python, etc.)
  • Experience on cloud technologies like AWS with and ability to Design, develop, and deploy secure and scalable cloud infrastructure solutions.
  • Experience with process and procedure documentation.

Nice to have

  • Proven ability to develop infrastructure engineering knowledge of additional domains, data fluency and automation knowledge.

What the JD emphasized

  • AI capabilities within the work environment
  • AI-assisted approaches