Deliver and support infrastructure engineering for capacity, monitoring, and resilience at scale. Collaborate with app and infra teams to identify and remediate capacity risks, use scripting and cloud skills to operate and migrate across clouds, and validate enterprise-authorized AI outputs to improve automation and remediation workflows.
You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role.
As an Infrastructure Engineer III at JPMorgan Chase within the Infrastructure Platforms team you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.
Job responsibilities
- Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications
- Resolves most nuances and determines appropriate escalation path
- Executes conventional approaches to build or break down technical problems
- Drives the daily activities supporting the standard capacity process applications
- Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
- Considers upstream/downstream data and systems or technical implications
- Be accountable for making significant decisions for a project consisting of multiple technologies and applications
- 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.
- Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
- Strong knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments
- Strong knowledge of one or more scripting languages (e.g., Scripting, Python, etc.)
- Experience with multiple cloud technologies with the ability to operate in and migrate across public and private clouds
- Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge
- 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.
Preferred qualifications, capabilities, and skills
- Experience with wired/wireless LAN/BGP WAN/SD-WAN and 802.1x technologies from vendors including Cisco, Arista, Juniper, Fortinet, and Forescout
- Exhibits a growing initiative and the ability to manage assigned tasks efficiently, seeking guidance when needed and showing a willingness to find solutions and contribute to improvements with some supervision
- Demonstrates strong communication skills, conveying ideas and challenges with clarity and precision to support understanding and effective collaboration
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