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 JPMorganChase within the Enterprise Technology - 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
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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
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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.
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Resolves most nuances and determines appropriate escalation path
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Executes conventional approaches to build or break down technical problems
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Drives the daily activities supporting the standard capacity process applications
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Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
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Considers upstream/downstream data and systems or technical implications
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Be accountable for making significant decisions for a project consisting of multiple technologies and applications
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Adds to team culture of diversity, opportunity, inclusion, and respect
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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
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Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
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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
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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.
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Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
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Strong Windows Administration experience (SME)
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Working knowledge of one or more scripting or coding skills in tools and languages such as languages: Terraform, Ansible, PowerShell Bash, Java, Python or Scala
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Must be curious and willing to learn
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Experience with multiple cloud technologies with the ability to operate in and migrate across public and private clouds
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Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge
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Experience supporting and administering Windows servers
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Experience with tools such as JIRA, ServiceNow, SCCM, or Windows Active Directory is a plus
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Experience working with Observability or SCIM tools.
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Experience working on AI tools