Infrastructure Engineer

Infrastructure Engineer IIIYou 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 Consumer and Community Banking 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 ResponsibilitiesApplies 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 applicationsUses 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 pathExecutes conventional approaches to build or break down technical problemsDrives the daily activities supporting the standard capacity process applicationsPartners with application and infrastructure teams to identify potential capacity risks and govern remediation statusesConsiders upstream/downstream data and systems or technical implicationsBe accountable for making significant decisions for a project consisting of multiple technologies and applicationsApplies 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 SkillsFormal training or certification on infrastructure engineering concepts and 3+ years applied experienceStrong knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessmentsHands-on experience with AWS/Azure Cloud platforms and Python or other scripting toolsHands-on with Git, CI/CD pipelines, and DevOps deployment practices. Experience with reporting and dashboarding using at least one data visualization platform (e.g., Tableau). Experience with CMDB-type inventory management and reporting tools such as ServiceNow and with any observability platforms such as Splunk, Grafana, Dynatrace.Use Agile practices and backlog & prioritization tools such as Jira to plan, build and deliver the work. Turning Manual into automated workflows on a continuous basisKnowledge of how infrastructure assets (Cloud, on-prem, private Cloud, SaaS)are registered, stored, and tracked through end-to-end life cycle. Ability to shift from reactive to proactive methodologies to remediate and mitigate security risks. Strong background in Tech Risk & Controls oversight, monitoring, and reporting, with proven ability to execute controls framework activities in partnership with technology and risk stakeholdersUnderstanding of ITAM lifecycle governance and how asset inventory and classification impact control effectiveness and findingsDemonstrated 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.