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Technology Support III - Application & Infrastructure Support Engineer III (AI-Enabled)

JPMorgan Chase
Plano, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 2 weeks ago
awsecsekskubernetespythonterraform

Full Job Posting

Job responsibilities

  • Provides end-to-end application and infrastructure service delivery and supports day-to-day maintenance of the firm’s systems to ensure operational stability and availability
  • Uses enterprise-authorized AI capabilities within the work environment to speed up incident triage and trend analysis from operational signals, validating outputs and handling operational data according to sensitivity and security requirements.
  • Assist in the monitoring of production environments for anomalies, address issues utilizing standard observability tools, and identify issues for escalation and communication while providing solutions to business and technology stakeholders
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Analyze complex situations and trends to anticipate and solve issues while supporting incident, problem, and change management of full stack technology systems, applications, or infrastructure
  • Applies reuse-first, AI-assisted practices within incident/problem/change routines to identify recurring interruption patterns and support validated remediation actions aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

  • 3+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support production support workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted incident recommendations before action, escalating when uncertain and following operational and security expectations.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud
  • Experience in observability and monitoring tools and techniques
  • Exposure to processes in scope of the Information Technology Infrastructure Library (ITIL) framework
  • Experience with Python and Terraform
  • Strong understanding of Kubernetes; microservices architecture

Preferred qualifications, capabilities, and skills

  • Experience with one or more general purpose programming languages and/or automation scripting
  • Exposure to microservice architecture (specifically EKS and ECS in AWS will be an added advantage)
  • Working understanding of public cloud

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