JPMorganChase
Infrastructure Engineer III (Oracle HCM with Payroll, Fast Formula)
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Supports infrastructure engineering for Oracle HCM applications, with emphasis on payroll, capacity management, monitoring, resiliency, and remediation workflows. Develops and troubleshoots Oracle HCM Cloud solutions using SQL, PL/SQL, BIP, XML, and XSL. Partners across application and infrastructure teams, evaluates capacity risks, supports cloud technologies and migrations, and validates AI-assisted recommendations for security, auditability, and operational reliability.
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 Employee Platforms Team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline.
Job responsibilities
As an Infrastructure Engineer III at JPMorgan Chase within the Employee Platforms Team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline.
Job responsibilities
- Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving 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 while considering upstream and downstream data and systems or technical implications
- Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
- Accountable for making significant decisions for a project consisting of multiple technologies and applications
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
- 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.
- Hands-on experience in Oracle HCM Cloud technical development with demonstrable expertise in payroll configurations.
- Strong command of SQL and PL/SQL for building BIP data models and executing diagnostic queries.
- Solid understanding of the Oracle HCM data model, including Person, Employment, Payroll, and Absence schemas and their interdependencies.
- Proficient in XML/XSL for report template design, transformation, and troubleshooting.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Oracle HCM Cloud technical experience across at least two full-cycle implementations or large-scale support engagements
- Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)
Preferred qualifications, capabilities, and skills
- Experience with Oracle Integration Cloud (OIC) for designing and implementing HCM integrations.
- Knowledge of HCM Atom Feeds for event-based integration patterns.
- Familiarity with Oracle Redwood or Visual Builder Studio (VBS) for UI extensions and customizations.
- Exposure to Generative AI use cases in HCM environments, such as policy chatbots, anomaly detection, or compliance automation.
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