Infrastructure Engineer III

JPMorgan Chase & Co.•Plano, TX

About The Position

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.

Requirements

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
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.
Strong Linux experience (SME)
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
Must be curious and willing to learn
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

Nice To Haves

Experience supporting and administering Linux RHEL
System administration experience with VMware vSphere ESXi hosts and vCenter environments, Unix, or Windows operating systems
Experience with tools such as JIRA, ServiceNow, SCCM, or Windows Active Directory is a plus

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
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.
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
Adds to team culture of diversity, opportunity, inclusion, and respect
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.