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oracle

Infrastructure Engineer III

JPMorgan Chase
Jersey City, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
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Required qualifications, capabilities, and skills

  • Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
  • Strong knowledge of one or more scripting languages (e.g., PowerShell, Python).
  • Experience with cloud-native architectures (Azure or AWS), serverless computing and infrastructure as code (Terraform).
  • Experience implementing Single-Sign-On using SAML2 or OAuth2/OIDC and secure authentication practices.
  • Strong knowledge of one or more infrastructure disciplines such as 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 knowledge of one or more scripting languages
  • Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)

Preferred qualifications, capabilities, and skills

  • Experience with building applications using modern development frameworks and languages (e.g., Node.js, Java, Go and C#/.NET).
  • Familiarity with enterprise IT operations, change control, and incident management.

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.

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